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An Introduction to Multivariate Statistical Analysis, Third Edition, T. W. Anderson



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Автор: T. W. Anderson
Название:  An Introduction to Multivariate Statistical Analysis, Third Edition   (Андерсон. Введение в множественный статистический анализ)
Издательство: Wiley
Классификация:
Исчисление и математический анализ
Вероятность и статистика

ISBN: 0471360910
ISBN-13(EAN): 9780471360919
ISBN: 0-471-36091-0
ISBN-13(EAN): 978-0-471-36091-9
Обложка/Формат: Hardback
Страницы: 752
Вес: 1.186 кг.
Дата издания: 08.08.2003
Серия: Wiley series in probability and statistics
Язык: English
Издание: 3 rev ed
Иллюстрации: References, index
Размер: 241 x 162 x 41
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Дополнительное описание: Кол-во стр.: 752
Формат: 237 x 161
Дата издания: 2003
Илюстрации: References, index
Вес: 1134
Круг читателей: undergraduate





Multivariate Time Series Analysis: With R and Financial Applications

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 12821 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Exploratory Multivariate Analysis by Example Using R

Автор: Husson
Название: Exploratory Multivariate Analysis by Example Using R
ISBN: 1439835802 ISBN-13(EAN): 9781439835807
Издательство: Taylor&Francis
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Цена: 7391 р.
Наличие на складе: Поставка под заказ.

Описание: Full of real-world case studies and practical advice, this book focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis when variables are quantitative, correspondence analysis and multiple correspondence analysis when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. All of the data sets and code are available on the book’s website.

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition

Автор: Ho
Название: Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition
ISBN: 1439890218 ISBN-13(EAN): 9781439890219
Издательство: Taylor&Francis
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Цена: 8546 р.
Наличие на складе: Поставка под заказ.

Описание: Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

Statistical Inference for Models with Multivariate T-distrib

Автор: Saleh A K Md Ehsanes
Название: Statistical Inference for Models with Multivariate T-distrib
ISBN: 1118854055 ISBN-13(EAN): 9781118854051
Издательство: Wiley
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Цена: 10389 р.
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Описание: Uniquely presents systematic analytical results using Student’s t –distributed errors in linear models Statistical Inference for Models with Multivariate t–Distributed Errors presents a wide array of applications for the analysis of multivariate observations and emphasizes the Student’s t –distribution method. The book illustrates the development of linear statistical models with applications to a variety of fields including mathematics, statistics, biostatistics, engineering, and the physical sciences. The book begins with a summary of the results under normal theory and proceeds to the statistical analysis of location models, simple regression, analysis of variance (ANOVA), parallelism, multiple regression, ridge regression, multivariate and simple multivariate linear models, and linear prediction. Providing a clear and balanced introduction to statistical inference, the bookalso features: A unique connection to normal distribution, Bayesian analysis, prediction problems, and Stein shrinkage estimation Practical real–world examples that address linear regression models with non–normal errors with practical real–world examples Plentiful applications and end–of–chapter problems that enhance the applications for the analysis of multivariate observations An up–to–date bibliography featuring the latest trends and advances to provide a collective resource for research Statistical Inference for Models with Multivariate t–Distributed Errors is an excellent upper–undergraduate and graduate–level textbook for courses in multivariate analysis, regression, linear models, and Bayesian analysis. The book is also a useful resource for statistical practitioners who need solid methodology within mathematical and quantitative statistics.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 6556 р.
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Описание: 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines.

Matrix-Based Introduction to Multivariate Data Analysis

Автор: Adachi
Название: Matrix-Based Introduction to Multivariate Data Analysis
ISBN: 9811023409 ISBN-13(EAN): 9789811023408
Издательство: Springer
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Цена: 7000 р.
Наличие на складе: Невозможна поставка.

Описание:

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter.
This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra.
The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

Автор: Everitt
Название: Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences
ISBN: 1439807698 ISBN-13(EAN): 9781439807699
Издательство: Taylor&Francis
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Цена: 4272 р.
Наличие на складе: Поставка под заказ.

Описание: With many real-world examples, graphs, and exercises, this text presents an accessible introduction to intermediate statistical methods for behavioral scientists. It contains a large number of real data sets arising from actual problems, including cognitive behavioral therapy, crime rates, and drug usage. Assuming some familiarity with introductory statistics, the author separates mathematical details from the main body of the text and removes the burden of performing necessary calculations by encouraging the use of R and providing the code online. Solutions to the problems as well as all R code and data sets for the examples are available on the book’s website.

Multivariate Survival Analysis and Competing Risks

Автор: Crowder
Название: Multivariate Survival Analysis and Competing Risks
ISBN: 1439875219 ISBN-13(EAN): 9781439875216
Издательство: Taylor&Francis
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Цена: 13283 р.
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Описание: Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

Applied Multivariate Statistical Analysis

Автор: H?rdle
Название: Applied Multivariate Statistical Analysis
ISBN: 3642172288 ISBN-13(EAN): 9783642172281
Издательство: Springer
Цена: 8355 р.
Наличие на складе: Поставка под заказ.

Описание: Most of the observable phenomena in the empirical sciences are of a multivariate nature.  In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices.  In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication.  In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior.  The underlying data structure of these and many other quantitative studies of applied sciences is multivariate.  Focusing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data.  The book surveys the basic principles of multivariate statistical data analysis and emphasizes both exploratory and inferential statistics.  All chapters have exercises that highlight applications in different fields.The third edition of this book on Applied Multivariate Statistical Analysis offers the following new featuresA new Chapter on Regression Models has been addedAll numerical examples have been redone, updated and made reproducible in MATLAB or R, see www.quantlet.org for a repository of quantlets.

Applied Multivariate Statistical Analysis

Автор: H?rdle
Название: Applied Multivariate Statistical Analysis
ISBN: 3540030794 ISBN-13(EAN): 9783540030799
Издательство: Springer
Цена: 7832 р.
Наличие на складе: Поставка под заказ.

Advances in Multivariate Data Analysis / Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001

Автор: Bock Hans-Hermann, Chiodi Marcello, Mineo Antonio
Название: Advances in Multivariate Data Analysis / Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001
ISBN: 3540208895 ISBN-13(EAN): 9783540208891
Издательство: Springer
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Цена: 12539 р.
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Описание: The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.

Applied Multivariate Statistical Analysis

Автор: H?rdle
Название: Applied Multivariate Statistical Analysis
ISBN: 3540722432 ISBN-13(EAN): 9783540722434
Издательство: Springer
Рейтинг:
Цена: 8355 р.
Наличие на складе: Поставка под заказ.

Описание: Most of the observable phenomena in the empirical sciences are of a multivariate nature; whether it be in financial studies, medicine or quantitative marketing, where consumer preferences are collected in order to construct models of consumer behavior. This book presents the tools and concepts of multivariate data analysis.


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