Multivariate Statistical Analysis in the Real and Complex Domains

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Publisher : Springer Nature
ISBN 13 : 3030958647
Total Pages : 939 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Multivariate Statistical Analysis in the Real and Complex Domains by : Arak M. Mathai

Download or read book Multivariate Statistical Analysis in the Real and Complex Domains written by Arak M. Mathai and published by Springer Nature. This book was released on 2022-10-04 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture style so that the learning process feels organic. It also contains original results, with the goal of driving research conversations forward. This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Numerous exercises are included throughout.

Multivariate Statistical Analysis in the Real and Complex Domains

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Publisher :
ISBN 13 : 9783030958657
Total Pages : 0 pages
Book Rating : 4.9/5 (586 download)

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Book Synopsis Multivariate Statistical Analysis in the Real and Complex Domains by : Arakaparampil M. Mathai

Download or read book Multivariate Statistical Analysis in the Real and Complex Domains written by Arakaparampil M. Mathai and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a practical resource for start-ups looking for innovating their business models in domestic and global markets. It describes the innovative business practices adopted by start-ups during the COVID-19 pandemic, with a special emphasis on value proposition innovation and business model innovation more generally. The BMI-Pandemic 2.15 model, which is an expanded version of the Odyssey 3.14 model, is presented to highlight 15 guidelines for innovating business models during pandemics. In order to promote open innovation, this book emphasizes the value of strategic alliances with academic libraries, peer start-ups, and freelancers. Additionally, using actual start-up case studies, it demonstrates how important technological innovation is for gathering feedback, prototyping, and conducting both secondary as well as primary market research. The need of regularly experimenting with new approaches, learning from mistakes, and enhancing current processes are also emphasized in this book. Theoretical insights are linked with practical experiences of start-ups amid the pandemic. With a perfect balance of empirical research and assessment study types, this book is a source of quick knowledge for entrepreneurs, academics and researchers on how to enhance a company's innovative capacities and success rates.

Methods of Multivariate Analysis

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Publisher : Wiley-Interscience
ISBN 13 : 0471461725
Total Pages : 738 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Methods of Multivariate Analysis by : Alvin C. Rencher

Download or read book Methods of Multivariate Analysis written by Alvin C. Rencher and published by Wiley-Interscience. This book was released on 2003-04-14 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.

Multivariate Analysis for the Biobehavioral and Social Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 1118131614
Total Pages : 404 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Multivariate Analysis for the Biobehavioral and Social Sciences by : Bruce L. Brown

Download or read book Multivariate Analysis for the Biobehavioral and Social Sciences written by Bruce L. Brown and published by John Wiley & Sons. This book was released on 2011-11-01 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Innovations in Multivariate Statistical Modeling

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Publisher : Springer Nature
ISBN 13 : 3031139712
Total Pages : 434 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Innovations in Multivariate Statistical Modeling by : Andriëtte Bekker

Download or read book Innovations in Multivariate Statistical Modeling written by Andriëtte Bekker and published by Springer Nature. This book was released on 2022-12-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics. It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty. Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.

Multivariate Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 0470539860
Total Pages : 564 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Multivariate Statistics by : Yasunori Fujikoshi

Download or read book Multivariate Statistics written by Yasunori Fujikoshi and published by John Wiley & Sons. This book was released on 2011-08-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.

Applied Multivariate Statistical Analysis

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Publisher : Springer
ISBN 13 : 3662451719
Total Pages : 581 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Applied Multivariate Statistical Analysis by : Wolfgang Karl Härdle

Download or read book Applied Multivariate Statistical Analysis written by Wolfgang Karl Härdle and published by Springer. This book was released on 2015-02-26 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

Multivariate Statistical Modeling in Engineering and Management

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Publisher : CRC Press
ISBN 13 : 1000618420
Total Pages : 421 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Multivariate Statistical Modeling in Engineering and Management by : Jhareswar Maiti

Download or read book Multivariate Statistical Modeling in Engineering and Management written by Jhareswar Maiti and published by CRC Press. This book was released on 2022-10-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution. Key features: Links data generation process with statistical distributions in multivariate domain Provides step by step procedure for estimating parameters of developed models Provides blueprint for data driven decision making Includes practical examples and case studies relevant for intended audiences The book will help everyone involved in data driven problem solving, modeling and decision making.

Multivariate Statistical Analysis

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Publisher : World Scientific
ISBN 13 : 9812791752
Total Pages : 568 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Multivariate Statistical Analysis by : Parimal Mukhopadhyay

Download or read book Multivariate Statistical Analysis written by Parimal Mukhopadhyay and published by World Scientific. This book was released on 2009 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each." "This book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians." --Book Jacket.

Applied Multivariate Data Analysis

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Author :
Publisher : Wiley
ISBN 13 : 9780470711170
Total Pages : 0 pages
Book Rating : 4.7/5 (111 download)

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Book Synopsis Applied Multivariate Data Analysis by : Brian S. Everitt

Download or read book Applied Multivariate Data Analysis written by Brian S. Everitt and published by Wiley. This book was released on 2010-06-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.

Modern Multivariate Statistical Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 0387781897
Total Pages : 757 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Modern Multivariate Statistical Techniques by : Alan J. Izenman

Download or read book Modern Multivariate Statistical Techniques written by Alan J. Izenman and published by Springer Science & Business Media. This book was released on 2009-03-02 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Multivariate Statistical Methods

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Publisher : Psychology Press
ISBN 13 : 1317778553
Total Pages : 335 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Multivariate Statistical Methods by : George A. Marcoulides

Download or read book Multivariate Statistical Methods written by George A. Marcoulides and published by Psychology Press. This book was released on 2014-01-14 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

An Introduction to Multivariate Statistical Analysis

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Author :
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 396 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Multivariate Statistical Analysis by : Theodore Wilbur Anderson

Download or read book An Introduction to Multivariate Statistical Analysis written by Theodore Wilbur Anderson and published by John Wiley & Sons. This book was released on 1958 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multivariate normal distribution; Estimation of the mean vector and the covariance matrix; The distributions and uses of sample correlation coefficients; The generalized T2 statistic; Classification of observations; The distribution of the sample covariance matrix and the sample generalized variance; Testing the general linear hypothesis; analysis of variance; Testing independence of sets of variates; Testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices; Principal components; Canonical correlation and canonical variables; The distribution of certain characteristic roots and vectors that do not depend on parameters; A review of some other work in multivariate analysis.

An Introduction to Multivariate Statistical Analysis

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Publisher :
ISBN 13 :
Total Pages : 720 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis An Introduction to Multivariate Statistical Analysis by : Theodore W. Anderson

Download or read book An Introduction to Multivariate Statistical Analysis written by Theodore W. Anderson and published by . This book was released on 1984-09-28 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction; 2. The multivariate normal distribution; 3. Estimation of the mean vector and the covariance matrix; 4. Distributions and uses of sample correlation coefficients; 5. The generalized T2-Statistic; 6. Classification of observations; 7. The distribution of the sample covariance matrix and the sample generalized variance; 8. Testing the general linear hypothesis; Multivariate analysis of variance; 9. Testing independence of sets of variates; 10. Testing hypothesis of equality of coariance matrices and equality of mean vectors and covariance matrices; 11. Principal components; 12. Canonical correlations and canonical variables; 13. The distributions of characteristic roots and vectors; 14. Factor analysis.

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

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Publisher : University of Chicago Press
ISBN 13 : 022603819X
Total Pages : 576 pages
Book Rating : 4.2/5 (26 download)

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Book Synopsis The Chicago Guide to Writing about Multivariate Analysis, Second Edition by : Jane E. Miller

Download or read book The Chicago Guide to Writing about Multivariate Analysis, Second Edition written by Jane E. Miller and published by University of Chicago Press. This book was released on 2013-09-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.

Methods for Statistical Data Analysis of Multivariate Observations

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Publisher : John Wiley & Sons
ISBN 13 : 1118030923
Total Pages : 386 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Methods for Statistical Data Analysis of Multivariate Observations by : R. Gnanadesikan

Download or read book Methods for Statistical Data Analysis of Multivariate Observations written by R. Gnanadesikan and published by John Wiley & Sons. This book was released on 2011-01-25 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodologies have dramatically altered the landscape ofmultivariate data analysis. This new edition of Methods forStatistical Data Analysis of Multivariate Observations explorescurrent multivariate concepts and techniques while retaining thesame practical focus of its predecessor. It integrates methods anddata-based interpretations relevant to multivariate analysis in away that addresses real-world problems arising in many areas ofinterest. Greatly revised and updated, this Second Edition provides helpfulexamples, graphical orientation, numerous illustrations, and anappendix detailing statistical software, including the S (or Splus)and SAS systems. It also offers * An expanded chapter on cluster analysis that covers advances inpattern recognition * New sections on inputs to clustering algorithms and aids forinterpreting the results of cluster analysis * An exploration of some new techniques of summarization andexposure * New graphical methods for assessing the separations among theeigenvalues of a correlation matrix and for comparing sets ofeigenvectors * Knowledge gained from advances in robust estimation anddistributional models that are slightly broader than themultivariate normal This Second Edition is invaluable for graduate students, appliedstatisticians, engineers, and scientists wishing to usemultivariate techniques in a variety of disciplines.

Multivariate Statistical Methods

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Author :
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.:/5 (39 download)

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Book Synopsis Multivariate Statistical Methods by : Donald F. Morrison

Download or read book Multivariate Statistical Methods written by Donald F. Morrison and published by McGraw-Hill Companies. This book was released on 1976 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes index, bibliography, appendix: tables and charts