математика (страница 51)

Автор: Rachel Pasqua

A step-by-step guide to successful mobile marketing strategies Go from zero to sixty with this practical book that helps you craft and deploy mobile marketing strategies for everything from brand building to lead generation and sales. As part of the popular do-it-yourself, Hour A Day series, this new book is full of advice, practical tips, and step-by-step tactics you can put to use right away. Start leveraging location-based marketing via Foursquare and Yelp, see how to set up and manage mobile commerce, and try such technologies as QR codes, ambient communication (RFID and Bluetooth), mobile broadcasting, and more. Take action now and mobile-loving customers will soon find you, thanks to these successful ideas and strategies from expert mobile marketers, Rachel Pasqua and Noah Elkin. Shows you step by step how to develop, implement, and measure a successful mobile marketing strategy Pares down a complex process into approachable, bite-sized tasks you can tackle in an hour a day Covers vital mobile marketing weapons like messaging, mobile websites, apps, and mobile advertising to help you achieve your goals Gets you up to speed on location-based marketing via Foursquare and Yelp, using mobile commerce, and leveraging technologies such as as QR codes, ambient communication (RFID and Bluetooth), and mobile broadcasting Mobile Marketing: An Hour A Day is a must-have resource for marketers and advertisers who want a compelling mobile presence.

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Автор: С. А. Калайда

Развитие рыночных отношений под воздействием новых тенденций общественного развития приводит к необходимости трансформации экономики, в том числе к поиску новых эффективных форм организации совместного бизнеса. В статье исследуются возможности выбора инициатором совместной деятельности такой формы организации бизнеса, реализуемого в рамках определенного уровня экономической конвергенции, которая под воздействием цифровизации обеспечивает его наибольший рост и, как следствие, максимальное повышение конкурентоспособности инициатора. Автор разработал модель формирования экономической экосистемы как реально эффективной, учитывающей влияние на совместный бизнес как положительных, так и возможных отрицательных последствий цифровизации, которая обеспечивает максимальный экономический эффект совместного бизнеса. Для реализации этой модели в рамках определенного уровня конвергенции и применения в совместном бизнесе конкретного продукта цифровизации разработан алгоритм. Основными параметрами модели и реализующего ее алгоритма являются такие введенные автором понятия, как «экономическая экосистема», «потенциально самая эффективная экономическая экосистема», «реальная экосистема», «реально эффективная экосистема», описываемые показателями экономического эффекта и затрат по его получению. Следование шагам алгоритма, реализующего модель, позволит сформировать такой вариант экономической экосистемы, который обеспечит инициатору на определенном рассматриваемом уровне конвергенции при использовании в совместном бизнесе конкретного продукта цифровизации самый большой экономический эффект. Сравнение полученных по каждому уровню и продукту цифровизации вариантов реально эффективных экосистем дает возможность отбора окончательного варианта экосистемы, обеспечивающего инициатору экономический эффект, максимальный по уровням конвергенции и продуктам цифровизации, и, как следствие, наибольший рост его конкурентоспособности. Сформированная на основе разработанной модели и реализующего ее алгоритма экономическая экосистема дает в условиях конкурентной экономики инициатору создания совместного бизнеса наибольшие преимущества.

Серия: Прикладная информатика. Научные статьи

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Автор: Tobias Geyer

In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kHz, such as medium-voltage drives and modular multi-level converters. Consisting of two main parts, the first offers a detailed review of three-phase power electronics, electrical machines, carrier-based pulse width modulation, optimized pulse patterns, state-of-the art converter control methods and the principle of MPC. The second part is an in-depth treatment of MPC methods that fully exploit the performance potential of high-power converters. These control methods combine the fast control responses of deadbeat control with the optimal steady-state performance of optimized pulse patterns by resolving the antagonism between the two. MPC is expected to evolve into the control method of choice for power electronic systems operating at low pulse numbers with multiple coupled variables and tight operating constraints it. Model Predictive Control of High Power Converters and Industrial Drives will enable to reader to learn how to increase the power capability of the converter, lower the current distortions, reduce the filter size, achieve very fast transient responses and ensure the reliable operation within safe operating area constraints. Targeted at power electronic practitioners working on control-related aspects as well as control engineers, the material is intuitively accessible, and the mathematical formulations are augmented by illustrations, simple examples and a book companion website featuring animations. Readers benefit from a concise and comprehensive treatment of MPC for industrial power electronics, enabling them to understand, implement and advance the field of high-performance MPC schemes.

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Автор: Eduardo J. Renard Juli?n

La metodolog?a BIM (Building Information Modeling), el Gemelo Digital y el Big Data son conceptos que han irrumpido en los nuevos procesos de desarrollo y modelizaci?n de proyectos de edificaci?n y obra civil.
La aplicaci?n de la metodolog?a BIM en el desarrollo de cualquier proyecto arquitect?nico, o de ingeniar?a civil es ya un hecho. No tener conocimientos acerca de ello es posible que lo descarte autom?ticamente como participante en cualquier fase de desarrollo.
Este libro le ense?ar? a desenvolverse en proyectos a trav?s de Autodesk Civil 3D, un fant?stico software sobre modelado BIM de infraestructuras de la reconocida marca Autodesk. Las ?ltimas versiones de Civil 3D vienen repletas de nuevas herramientas muy productivas y enfocadas a esta metodolog?a.
El libro se complementa con alrededor de 60 ejercicios totalmente resueltos y explicados paso a paso. A trav?s de ellos, experimentar? de primera mano la gesti?n de datos topogr?ficos procedentes de dispositivos GNSS y estaciones totales. Generar? modelos digitales del terreno (MDT) al a?adir informaci?n gr?fica y al superponer im?genes satelitales, y experimentar? con la conexi?n WMS al descargar mapas en l?nea. La generaci?n de proyectos lineales y su interoperabilidad con otros formatos, como el IFC (Industry Foundation Classes) o LandXML, tambi?n son aspectos para destacar en este libro. Aprender? a realizar proyectos lineales, con todos sus elementos (alineaciones, rasantes, adaptaciones en planta y alzado, longitudinales, trasversales y secciones tipo) verificando en todo momento un estricto control geom?trico gracias al Country Kit y a la normativa de trazado disponible.
Adem?s, adquirir? conocimientos sobre interoperabilidad con otros programas, como ReCap Pro, gestionando datos LiDAR, y Revit, intercambiando topograf?as. Finalmente, ser? capaz de generar entregables en formatos BIM, y har? uso de multitud de programas, como BIMvision, Carlson Precision 3D e Infraworks. Dado su potencial, con Infraworks podr? profundizar un poco m?s, por lo que se dedica un cap?tulo completo a su manejo y compatibilidad con Civil 3D.
Este es un gran libro cuyos beneficios experimentar? inmediatamente y con el que incrementar? su competitividad, productividad y, en general, en la calidad de dise?o de sus proyectos. Sin duda, toda una inversi?n.

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Автор: Omar Pinz?n Ardila

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Автор: Miguel Ra?l Guzm?n Prado

El presente libro se propone mostrar a los lectores una nueva perspectiva como m?todo de aprendizaje, basado en la comprensi?n y desarrollo de algunos sistemas continuos de uno y m?ltiples grados de libertad, mediante el uso de la programaci?n computacional a trav?s del software Matlab. Los ejemplos te?rico-pr?cticos presentados en esta obra permitir?n familiarizarse mucho m?s con el lenguaje de programaci?n de Matlab y con su entorno de programaci?n visual Simulink, con lo cual se espera impulsar el inter?s en la implementaci?n del mencionado programa entre una de sus principales herramientas de aprendizaje y de trabajo.
Este texto va dirigido a los alumnos de pregrado y posgrado, as? como a la comunidad acad?mica en general; si bien los temas est?n relacionados directamente con la ingenier?a civil, las funciones del Matlab descritas y empleadas en este texto ser?n de gran ayuda en el desempe?o profesional de los diversos campos de la ingenier?a.

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Автор: Vera Pawlowsky-Glahn

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website. Complementing Pawlowsky-Glahn’s earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.

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Автор: Eriksson Lars

Control systems have come to play an important role in the performance of modern vehicles with regards to meeting goals on low emissions and low fuel consumption. To achieve these goals, modeling, simulation, and analysis have become standard tools for the development of control systems in the automotive industry. Modeling and Control of Engines and Drivelines provides an up-to-date treatment of the topic from a clear perspective of systems engineering and control systems, which are at the core of vehicle design. This book has three main goals. The first is to provide a thorough understanding of component models as building blocks. It has therefore been important to provide measurements from real processes, to explain the underlying physics, to describe the modeling considerations, and to validate the resulting models experimentally. Second, the authors show how the models are used in the current design of control and diagnosis systems. These system designs are never used in isolation, so the third goal is to provide a complete setting for system integration and evaluation, including complete vehicle models together with actual requirements and driving cycle analysis. Key features: Covers signals, systems, and control in modern vehicles Covers the basic dynamics of internal combustion engines and drivelines Provides a set of standard models and includes examples and case studies Covers turbo- and super-charging, and automotive dependability and diagnosis Accompanied by a web site hosting example models and problems and solutions Modeling and Control of Engines and Drivelines is a comprehensive reference for graduate students and the authors’ close collaboration with the automotive industry ensures that the knowledge and skills that practicing engineers need when analysing and developing new powertrain systems are also covered.

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Автор: Vladimir G. Chigrinov

Focusing on polarization matrix optics in many forms, this book includes coverage of a wide range of methods which have been applied to LCD modeling, ranging from the simple Jones matrix method to elaborate and high accuracy algorithms suitable for off-axis optics. Researchers and scientists are constantly striving for improved performance, faster response times, wide viewing angles, improved colour in liquid crystal display development, and with this comes the need to model LCD devices effectively. The authors have significant experience in dealing with the problems related to the practical application of liquid crystals, in particular their optical performance. Key features: Explores analytical solutions and approximations to important cases in the matrix treatment of different LC layer configurations, and the application of these results to improve the computational method Provides the analysis of accuracies of the different approaches discussed in the book Explains the development of the Eigenwave Jones matrix method which offers a path to improved accuracy compared to Jones matrix and extended Jones matrix formalisms, while achieving significant improvement in computational speed and versatility compared to full 4x4 matrix methods Includes a companion website hosting the authors' program library LMOPTICS (FORTRAN 90), a collection of routines for calculating the optical characteristics of stratified media, the use of which allows for the easy implementation of the methods described in this book. The website also contains a set of sample programs (source codes) using LMOPTICS, which exemplify the application of these methods in different situations

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Автор: John Sokolowski A

one-of-a-kind introduction to the theory and application of modeling and simulation techniques in the realm of international studies Modeling and Simulation for Analyzing Global Events provides an orientation to the theory and application of modeling and simulation techniques in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global events and outline the selection and construction of the best model for understanding the event?s data. Providing a theoretical foundation while also illustrating modern examples, the book contains three parts: Advancing Global Studies—introduces the what, when, and why of modeling and simulation and also explores its brief history, various uses, and some of the advantages and disadvantages of modeling and simulation in problem solving. In addition, the differences in qualitative and quantitative research methods, mapping data, and conducting model validation are also discussed. Modeling Paradigms—examines various methods of modeling including system dynamics, agent-based modeling, social network modeling, and game theory. This section also explores the theory and construction of these modeling paradigms, the fundamentals for their application, and various contexts for their use. Modeling Global Events—applies the modeling paradigms to four real-world events that are representative of several fundamental areas of social science studies: internal commotion within an anarchic state, a multi-layered study of the Solidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a national security crisis. Modeling and Simulation for Analyzing Global Events is an excellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulation at the upper-undergraduate and graduate levels. It is also an insightful reference for professionals who would like to develop modeling and simulation skills for analyzing and communicating human behavior observed in real-world events and complex global case studies.

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Автор: Marc Trestini

The emergence of social networks, OpenCourseWare, Massive Open Online Courses, informal remote learning and connectivist approaches to learning has made the analysis and evaluation of Digital Learning Environments more complex. Modeling these complex systems makes it possible to transcribe the phenomena observed and facilitates the study of these processes with the aid of specific tools. Once this essential step is taken, it then becomes possible to develop plausible scenarios from the observation of emerging phenomena and dominant trends. This book highlights the contribution of complex systems theory in the study of next generation Digital Learning Environments. It describes a realistic approach and proposes a range of effective management tools to achieve it.

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Автор: Shmueli Galit

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes. Visit this book's companion website by clicking here

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Автор: Paula Andrea Gonz?lez Parra

Con la aparici?n del COVID-19, ha crecido en la poblaci?n general el inter?s en los modelos matem?ticos de las enfermedades infecciosas. Es com?n escuchar sobre el n?mero reproductivo b?sico R, el pico de la pandemia, las pol?ticas de mitigaci?n de la enfermedad, entre otras. Una de las contribuciones m?s importantes en epidemiolog?a matem?tica es el modelo comportamental propuesto por Kermack y McKendrick formulado en 1927.

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Автор: Jeffrey T. Barton

Features an authentic and engaging approach to mathematical modeling driven by real-world applications With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques. The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® also features: A modular organization that, after the first chapter, allows readers to explore chapters in any order Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug’s therapeutic window A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor’s manual with solutions to all homework problems, project ideas, and a test bank The book is ideal for undergraduate non-mathematics majors enrolled in mathematics or quantitative reasoning courses such as introductory mathematical modeling, applications of mathematics, survey of mathematics, discrete mathematical modeling, and mathematics for liberal arts. The book is also an appropriate supplement and project source for honors and/or independent study courses in mathematical modeling and mathematical biology. Jeffrey T. Barton, PhD, is Professor of Mathematics in the Mathematics Department at Birmingham-Southern College. A member of the American Mathematical Society and Mathematical Association of America, his mathematical interests include approximation theory, analytic number theory, mathematical biology, mathematical modeling, and the history of mathematics.

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Автор: Jeanne Kowalski

A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a «learn by example» approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research. The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters. Additional topical coverage includes: Longitudinal data modeling with missing data Parametric and distribution-free mixed-effect and structural equation models A new multi-response based regression framework for non-parametric statistics such as the product moment correlation, Kendall's tau, and Mann-Whitney-Wilcoxon rank tests A new class of U-statistic-based estimating equations (UBEE) for dependent responses Motivating examples, in-depth illustrations of statistical and model-building concepts, and an extensive discussion of longitudinal study designs strengthen the real-world utility and comprehension of this book. An accompanying Web site features SAS? and S-Plus? program codes, software applications, and additional study data. Modern Applied U-Statistics accommodates second- and third-year students of biostatistics at the graduate level and also serves as an excellent self-study for practitioners in the fields of bioinformatics and psychosocial research.

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Автор: Antoine Savine

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Автор: Antoine Savine

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware. AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance. Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software. This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates. The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.

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Автор: Antoine Savine

An incisive and essential guide to building a complete system for derivative scripting  In Volume 2 of  Modern Computational Finance Scripting for Derivatives and xVA,  quantitative finance experts and practitioners Drs. Antoine Savine and Jesper Andreasen deliver an indispensable and insightful roadmap to the interrogation, aggregation, and manipulation of cash-flows in a variety of ways. The book demonstrates how to facilitate portfolio-wide risk assessment and regulatory calculations (like xVA).  Complete with a professional scripting library written in modern C++, this stand-alone volume walks readers through the construction of a comprehensive risk and valuation tool. This essential book also offers:  Effective strategies for improving scripting libraries, from basic examples—like support for dates and vectors—to advanced improvements, including American Monte Carlo techniques Exploration of the concepts of fuzzy logic and risk sensitivities, including support for smoothing and condition domains Discussion of the application of scripting to xVA, complete with a full treatment of branching Perfect for quantitative analysts, risk professionals, system developers, derivatives traders, and financial analysts,  Modern Computational Finance Scripting for Derivatives and xVA : Volume 2 is also a must-read resource for students and teachers in master’s and PhD finance programs.

Исполнители: Авточтец

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Автор: Ron S. Kenett

Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability. Graduate and post-graduate students in the areas of statistical quality and engineering, as well as industrial statisticians, researchers and practitioners in these fields will all benefit from the comprehensive combination of theoretical and practical information provided in this single volume. Modern Industrial Statistics: With applications in R, MINITAB and JMP: Combines a practical approach with theoretical foundations and computational support. Provides examples in R using a dedicated package called MISTAT, and also refers to MINITAB and JMP. Includes exercises at the end of each chapter to aid learning and test knowledge. Provides over 40 data sets representing real-life case studies. Is complemented by a comprehensive website providing an introduction to R, and installations of JMP scripts and MINITAB macros, including effective tutorials with introductory material: www.wiley.com/go/modern_industrial_statistics.

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Автор: Группа авторов

This book – comprised of three separate volumes – presents the recent developments and research discoveries in structural and solid mechanics; it is dedicated to Professor Isaac Elishakoff.

This first volume is devoted to the statics and stability of solid and structural members. Modern Trends in Structural and Solid Mechanics 1 has broad scope, covering topics such as: buckling of discrete systems (elastic chains, lattices with short and long range interactions, and discrete arches), buckling of continuous structural elements including beams, arches and plates, static investigation of composite plates, exact solutions of plate problems, elastic and inelastic buckling, dynamic buckling under impulsive loading, buckling and post-buckling investigations, buckling of conservative and non-conservative systems and buckling of micro and macro-systems.

This book is intended for graduate students and researchers in the field of theoretical and applied mechanics.

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Автор: Wilfried B. Holzapfel

Wie kann man das Interesse von Jugendlichen (und neugierige ?ltere) an aktuellen Ergebnisse der Naturwissenschaften wecken? Hier nimmt ein alter Alchemist seine Enkelt?chter auf eine Reise mit durch die Welt der hohen Dr?cke und zeigt ihnen dabei zun?chst an verschiedenen bunte Landkarten, was diese Welt zu bieten hat. Ausgehend vom Weltbild der alten Griechen und der mittelalterlichen Alchemisten zeigt er zun?chst, wie sich einige Grundvorstellungen langsam gewandelt haben bis daraus unser modernes Weltbild entstand ist. Wie ein roter Faden dient dabei neben der Temperatur immer wieder der Druck als wichtige Orientierungshilfe. In vielen Gespr?chen werden den Fragen nach dem Was und Wie und insbesondere nach dem Warum beantwortet, wobei ohne Formelkram der heutigen Stand des Wissens erl?utern wird, bis hin zu aktuellen Grenzen und Problemen. Dabei f?hrt die Reise zun?chst in den Makrokosmos mit seiner Grenze beim Urknall, dann in die andere Richtung, in den Mikrokosmos, bis zu den Quarks und Gluonen, und schlie?lich zu den bunten Landkarten der chemischen Elemente in weiten Druck- und Temperaturbereichen mit einer Vielzahl merkw?rdiger Kristallstrukturen. Fragen nach dem Warum werden mit Betrachtungen zum Aufbau der Atome, zu modernen Vorstellungen ?ber chemische Bindung und zu Fragen der Elektronenstruktur in Kristallen beantwortet. Warum finden wir so viele verschiedene Kristallstrukturen bei den chemischen Elementen schon bei normalen Druck- und Temperatur-Bedingungen? Und warum treten v?llig neue Kristallstrukturen unter hohen Dr?cken auf? Vielen Hinweisen auf den aktuellen Stand der Forschung und die entsprechende Literatur werden durch einem ausf?hrlichen Anhang erg?nzt. So k?nnen sicher auch viele Studierende der Naturwissenschaften, insbesondere der Materialkunde, Geowissenschaften und Kristallographie, hier noch viele Anregungen finden, vielleicht sogar zu eigenen neuen Forschungsprojekten.

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Автор: Hannes Weisweiler

Profitables Podcasting in der modernen Welt Schritt 1: Die Vorteile von Podcasting ⦁ Heutzutage h?ren mehr Menschen Podcasts und die Zahl w?chst ⦁ Podcasts sind eine gute Alternative zu Videos ⦁ Es ist einfacher, sich von Podcasts abzuheben, als von Blogs oder Videos ⦁ Sie k?nnen Datenverkehr ?ber Ihre Podcasts generieren ⦁ Sie k?nnen eine gro?artige Beziehung zu Ihrem Publikum aufbauen ⦁ Podcasts sind ansprechender als Blogs ⦁ Podcasts sind einfach zu erstellen ⦁ Zuh?rer sehen Podcast er als Experten in ihrer Nische ⦁ Mit Podcasting k?nnen Sie Geld verdienen
Schritt 2: W?hlen Sie die richtige Nische f?r Podcasts Sie m?ssen sicherstellen, dass Ihre Podcasts nachgefragt werden. Ein weiterer wichtiger Faktor ist, dass Sie eine gro?e Anzahl von Themen haben, um Ihre Podcasts zu erstellen. Gute kommerzielle M?glichkeiten zur Werbung f?r Angebote sind ebenfalls n?tzlich, aber nicht unbedingt erforderlich. Schritt 1: Denken Sie ?ber Ihre Interessen und Leidenschaften nach und schreiben Sie diese auf Schritt 2: Suchen Sie auf Websites wie Clickbank.com, Amazon.com und Dummies.com nach weiteren Nischenideen Schritt 3: ?berpr?fen Sie jede Nischenidee, indem Sie das Suchvolumen mit dem Google Keyword Planner testen Schritt 4: Identifizieren Sie die Probleme, die Menschen in Ihrer gew?hlten Nische haben, damit Sie ihnen helfen k?nnen Schritt 5: Identifizieren Sie Ihre Konkurrenz und schauen Sie in deren Podcasts nach Ideen f?r Inhalte
Schritt 3: Planen Sie gro?artige Podcasts Schritt 1: Schreiben Sie eine Mission und Vision f?r Ihre Podcasts Schritt 2: Denken Sie an die Pers?nlichkeit, die Sie in Ihre Podcasts einbringen, und an die Stimme, die Sie verwenden werden Schritt 3: Entscheiden Sie sich f?r einen inspirierenden Slogan f?r Ihre Podcasts Schritt 4: Seien Sie konsistent mit Ihrem Branding Schritt 5: Lassen Sie professionelle Cover-Designs entwerfen und verwenden Sie sie ?berall – Sie k?nnen sie auf Fiverr.com auslagern Schritt 6: Erstellen Sie eine Community rund um Ihre Marke Schritt 7: ?berlegen Sie sich einen Namen f?r Ihre H?rer und verwenden Sie diesen in Ihren Podcasts, damit sie sich besonders f?hlen
Schritt 4: Holen Sie sich die richtige Ausr?stung f?r Ihre Podcasts Schritt 1: Holen Sie sich ein hochwertiges Mikrofon f?r Ihren Computer, Mixer oder Ihr Mobilger?t – verwenden Sie niemals minderwertige Mikrofone Schritt 2: Holen Sie sich einen Pop-Filter f?r Ihr Mikrofon, um unerw?nschte Ger?usche zu minimieren Schritt 3: Holen Sie sich einen Mikrofonst?nder, um Ihr Mikrofon in der richtigen Position zu halten Schritt 4: Verwenden Sie hochwertige Kopfh?rer, um Ihre Podcast-Aufnahmen zu ?berwachen Schritt 5: Verwenden Sie Audacity oder Garage Band f?r Ihre Audiobearbeitung. Erfahren Sie, wie Sie diese richtig verwenden, indem Sie sich YouTube-Videos ansehen

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Автор: Seymour Geisser

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author's writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing.

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Автор: Michaela Santowski

Antonia lebt f?r ihr Studium und verbringt ihre Zeit vorwiegend mit Lernen. Als ihre besten Freundin Judit ihr Fabian vorstellt, wirbelt dieser Tonys Leben durcheinander. Fabians Ruf als Frauenheld ist legend?r. Bereits von der ersten Minute an bringt Fabian Tony mit seiner Arroganz und Frivolit?t auf die Palme. Er scheint ein wahres Vergn?gen daran zu finden, sie auf 180 zu bringen. Doch nach und nach muss Tony feststellen, dass sie mehr f?r ihn empfindet. Als sie sich endlich eingesteht, sich in Fabian verliebt zu haben, erkl?rt dieser ihr, wie sehr er sie als gute Freundin sch?tzt. Um Fabian zu zeigen, dass sie mehr als nur eine gute Freundin ist, verf?hrt sie ihn. Doch um ihn f?r mehr als ein paar N?chte an sich zu binden, muss sie danach wieder zu ihrer normalen Freundschaft zur?ckfinden; ein Vorhaben, das Tony alles abverlangt, da die Sehnsucht nach Fabian jeden Tag gr??er wird.

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Автор: Roberto Todeschini

The number-one reference on the topic now contains a wealth of new data: The entire relevant literature over the past six years has been painstakingly surveyed, resulting in hundreds of new descriptors being added to the list, and some 3,000 new references in the bibliography section. Volume 1 contains an alphabetical listing of more than 3300 descriptors and related terms for chemoinformatic analysis of chemical compound properties, while the second volume lists over 6,000 references selected from 450 journals. To make the data even more accessible, the introductory section has been completely re-written and now contains several «walk-through» reading lists of selected keywords for novice users.

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Автор: Ana M. Longo

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Автор: Geoffrey Ingham

Few economic phenomena provoke as much confusion as money. From the first measures of value and the physical coins that circulated at the dawn human civilization to the era of ‘virtual’ money transmitted through cyberspace, it is ubiquitous and hugely important, yet economists cannot even agree on what it is.

In this pithy, accessible book, Geoffrey Ingham cuts through this tangled web of debate to bring rare clarity. Ingham begins by examining the fundamental debate over the nature of money: is it fundamentally a natural, ‘neutral’ measure of pre-existing value produced by ‘real’ economic forces? Or is it a socially produced and politically manipulated force that creates new value? He proceeds to trace the import of these competing views for how we understand our contemporary monetary systems and their practical and policy-related implications, from their role in financial crises to proposals for reform.

Students of political economy, economic sociology and monetary economics will find this book an invaluable primer, as will general readers wishing to understand how money shapes their lives, from the cash in their pocket to the numbers on their computer screen.

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Автор: Paul Roehrig

Learn to tame technology's role in your life and work through 13 easy steps Monster: A Tough Love Letter on Taming the Machines that Rule our Jobs, Lives, and Future is an insightful exploration of how we can responsibly engage with technology We can maintain our freedom and privacy while still realizing the benefits that tech offers; Monster shows us how. The book offers readers an original view of big tech that includes discussions of: The addictive nature of many modern technology platforms and how to combat bad habits The growing backlash against big tech and how people are growing increasingly disenchanted with its impacts How to tame technology's role in your life and firm without becoming a modern Luddite Perfect for managers, leaders, and employees at companies of all sizes and in all industries, Monster will also earn a place in the libraries of technology enthusiasts who are growing increasingly wary of technology's role in their life and the lives of the people around them.

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Автор: Karsten Paerregaard

Hemos entrado a una nueva era geol?gica: el Antropoceno. En esta etapa de vida del planeta, la actividad humana es el agente dominante del medioambiente. Ante un clima err?tico que nos afecta, los individuos y las comunidades vienen recreando ideas y respuestas de un orden cosmol?gico, cultural y religioso con la finalidad de encarar los desaf?os que surgen en esta era de transformaciones globales. Bajo este contexto, cada uno de los apartados de esta compilaci?n nos ayuda a trazar reflexiones complementarias acerca de la cosmovisi?n sobre el agua en territorios de monta?as y las consecuencias del retroceso de los glaciares de los Andes peruanos y del Himalaya indio. Todos los escritos reunidos aqu? son el producto de un di?logo entre investigadores que formaron parte de un proyecto sobre el v?nculo entre la religi?n y el cambio clim?tico, promovido por el Centro de Estudios Latinoamericanos y Latinos de American University. El trabajo colaborativo entre una variedad de
investigadores de diferentes ramas de las ciencias humanas y sociales ha dado como resultado un camino para ampliar nuestra visi?n sobre las similitudes y contrastes en estos parajes de monta?a. El colapso agr?cola, la reestructuraci?n econ?mica, el desplazamiento de personas y la modificaci?n del paisaje a causa de las industrias extractivas que impulsan proyectos de generaci?n hidroel?ctrica son algunos de los elementos que circundan los an?lisis que brinda este libro. As?, estamos ante seis investigaciones que, ante el aumento de las manifestaciones del medioambiente predecibles e impredecibles, nos ofrecen un panorama acerca de las m?ltiples formas que pueden tomar la adaptaci?n y la resiliencia.

Исполнители: Charles Rettinghaus

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Автор: ngel Custodio Li??n Romero

Libro especializado que se ajusta al desarrollo de la cualificaci?n profesional y adquisici?n de certificados de profesionalidad. Manual imprescindible para la formaci?n y la capacitaci?n, que se basa en los principios de la cualificaci?n y dinamizaci?n del conocimiento, como premisas para la mejora de la empleabilidad y eficacia para el desempe?o del trabajo.

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Автор: Luis Campanario Felardo

Libro especializado que se ajusta al desarrollo de la cualificaci?n profesional y adquisici?n de certificados de profesionalidad. Manual imprescindible para la formaci?n y la capacitaci?n, que se basa en los principios de la cualificaci?n y dinamizaci?n del conocimiento, como premisas para la mejora de la empleabilidad y eficacia para el desempe?o del trabajo.

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Автор: Jorge Mora Garc?a

Libro especializado que se ajusta al desarrollo de la cualificaci?n profesional y adquisici?n de certificados de profesionalidad. Manual imprescindible para la formaci?n y la capacitaci?n, que se basa en los principios de la cualificaci?n y dinamizaci?n del conocimiento, como premisas para la mejora de la empleabilidad y eficacia para el desempe?o del trabajo.

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Автор: Jes?s Enrique S?nchez-Lafuente Gom?z

Libro especializado que se ajusta al desarrollo de la cualificaci?n profesional y adquisici?n de certificados de profesionalidad. Manual imprescindible para la formaci?n y la capacitaci?n, que se basa en los principios de la cualificaci?n y dinamizaci?n del conocimiento, como premisas para la mejora de la empleabilidad y eficacia para el desempe?o del trabajo.

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Автор: Jos? Gustavo Jim?nez P?rez

Libro especializado que se ajusta al desarrollo de la cualificaci?n profesional y adquisici?n de certificados de profesionalidad. Manual imprescindible para la formaci?n y la capacitaci?n, que se basa en los principios de la cualificaci?n y dinamizaci?n del conocimiento, como premisas para la mejora de la empleabilidad y eficacia para el desempe?o del trabajo.

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Автор: Anthologie

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Автор: Marilar Aleixandre

Emilia Pardo Baz?n fue, en sus propias palabras, una «radical feminista». La contribuci?n y el car?cter de sus ideas dan fiel t?tulo a este libro,  Moviendo los marcos del patriarcado , en el que  Marilar Aleixandre y  Mar?a L?pez-S?ndez se acercan en profundidad a su pensamiento y exponen c?mo no solo denunci? los asesinatos de mujeres, d?ndoles el nombre de «mujericidio», y el maltrato f?sico, sino que identific? los fundamentos ideol?gicos en que se basa esta violencia, como la idea de que los hombres son due?os de las mujeres y de sus vidas. Critic? tambi?n la violencia simb?lica, las asimetr?as en juzgar mujeres y hombres, y sus bases en la noci?n de que tendr?an distinta naturaleza. Estos fundamentos y los mecanismos por los que se ejercen las discriminaciones son lo que hoy llamamos patriarcado. Argument? que las mujeres tienen derecho a seguir su propio destino, y no solo el relativo al var?n o a la familia. Ejerci? el derecho de las mujeres al placer, sexual o en general a disfrutar de la vida, reivindicando para nosotras todas las profesiones, todos los reconocimientos «hasta la ?ltima gota de tinta».

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Автор: Dominik Obermaier

Серия: Shortcuts

Исполнители: Вадим Пугачев

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Автор: Simon Parkin

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Автор: Nelsy Roc?o Gonz?lez Guti?rrez

Esta investigaci?n muestra formas de participaci?n de las mujeres en avance del desarrollo cient?fico desde sus aportes en matem?tica, especialmente destaca la trayectoria de tres matem?ticas colombianas. Se analizan los factores de mayor incidencia durante el proceso de formaci?n acad?mica en sus logros cient?ficos. Es un an?lisis desde la historia social de la educaci?n, que compara el desarrollo de los estudios en matem?ticas en tres universidades colombianas, as? como la situaci?n relativa a los g?neros, tanto acad?mica como social. Por medio de la historia oral se examina la influencia del entorno familiar en la elecci?n de la carrera profesional de tres matem?ticas colombianas destacadas. La estructuraci?n se basa en los m?todos de la historia social, se acude a la fenomenolog?a para la descripci?n-narraci?n de los hechos y se apoya en la hermen?utica para la interpretaci?n de los datos recolectados. La comparaci?n de la educaci?n de estas tres eminentes matem?ticas nos permite concluir que su avance acad?mico estuvo motivado gracias a su propia iniciativa y a sus vivencias en la formaci?n escolar. Y, por ?ltimo, queremos resaltar que el gran logro acad?mico con su Doctorado en Matem?ticas significa la conquista del desaf?o de ser ejemplos de vida e inspiraci?n para futuras matem?ticas.

Серия: Colecci?n Investigaci?n

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Автор: H. M. Schwartz

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid games—two player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits. • Framework for understanding a variety of methods and approaches in multi-agent machine learning. • Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning • Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering

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Автор: Richard Weber

In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-armed bandit problem and his subsequent investigation of a wide of sequential resource allocation and stochastic scheduling problems. Since then there has been a remarkable flowering of new insights, generalizations and applications, to which Glazebrook and Weber have made major contributions. This second edition brings the story up to date. There are new chapters on the achievable region approach to stochastic optimization problems, the construction of performance bounds for suboptimal policies, Whittle's restless bandits, and the use of Lagrangian relaxation in the construction and evaluation of index policies. Some of the many varied proofs of the index theorem are discussed along with the insights that they provide. Many contemporary applications are surveyed, and over 150 new references are included. Over the past 40 years the Gittins index has helped theoreticians and practitioners to address a huge variety of problems within chemometrics, economics, engineering, numerical analysis, operational research, probability, statistics and website design. This new edition will be an important resource for others wishing to use this approach.

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Автор: Ishizaka Alessio

This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.

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Автор: Efstratios N. Pistikopoulos

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Автор: Группа авторов

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.

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Автор: Jianbo Gao

The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully understand the ever-expanding literature and apply novel methods to effectively solve their signal processing problems. Multiscale Analysis of Complex Time Series fills this pressing need by presenting chaos and random fractal theory in a unified manner. Adopting a data-driven approach, the book covers: DNA sequence analysis EEG analysis Heart rate variability analysis Neural information processing Network traffic modeling Economic time series analysis And more Additionally, the book illustrates almost every concept presented through applications and a dedicated Web site is available with source codes written in various languages, including Java, Fortran, C, and MATLAB, together with some simulated and experimental data. The only modern treatment of signal processing with chaos and random fractals unified, this is an essential book for researchers and graduate students in electrical engineering, computer science, bioengineering, and many other fields.

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Автор: Patrick Royston

Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which there is no standard approach. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models.

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Автор: George A. F. Seber

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. «In recent years many monographs have been published on specialized aspects of multivariate data-analysis–on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers.» –J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references.

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Автор: Ruey S. Tsay

An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simplified parsimonious VAR MA modeling. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR MA time series and models, unitroot process, factor models, and factor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce the presented content • User-friendly R subroutines and research presented throughout to demonstrate modern applications • Numerous datasets and subroutines to provide readers with a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbook for graduate-level courses on time series and quantitative finance and upper-undergraduate level statistics courses in time series. The book is also an indispensable reference for researchers and practitioners in business, finance, and econometrics.

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Автор: Jineth Berr?o Mart?nez

El Museo de Historia Natural Colegio de San Jos?, surgi? como un importante referente cient?fico y acad?mico en los niveles local y nacional, durante la primera d?cada del siglo XX. Logr? gran reconocimiento internacional gracias a la labor que desempe?aron los hermanos que fungieron como sus directores durante los 95 a?os de su funcionamiento. Durante esos a?os, el Museo de Historia Natural Colegio de San Jos? atraves? por cuatro etapas claramente diferenciadas, que posibilitaron la recolecci?n de espec?menes de toda ?ndole, la realizaci?n de excursiones, el intercambio de material cient?fico y bibliogr?fico con cient?ficos nacionales y extranjeros, y la creaci?n de sociedades cient?ficas que se constituyeron en entes de circulaci?n y apropiaci?n de las ciencias naturales en Colombia.

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Автор: Ewald Peischl

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Автор: Thomas Palzer

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