Multivariate Observations

Author : George A. F. Seber
Publisher : John Wiley & Sons
Page : 718 pages
File Size : 46,9 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317310

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Multivariate Observations by George A. F. Seber Pdf

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.

Author : George A. F. Seber
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 46,8 Mb
Release : 2004-08-24
Category : Mathematics
ISBN : 0471691216

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Multivariate Observations by George A. F. Seber Pdf

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.

Author : R. Gnanadesikan
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 42,5 Mb
Release : 2011-01-25
Category : Mathematics
ISBN : 9781118030929

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Methods for Statistical Data Analysis of Multivariate Observations by R. Gnanadesikan Pdf

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.

Author : Wolfgang Karl Härdle,Léopold Simar
Publisher : Springer Science & Business Media
Page : 458 pages
File Size : 54,8 Mb
Release : 2007-08-09
Category : Mathematics
ISBN : 9783540722441

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Applied Multivariate Statistical Analysis by Wolfgang Karl Härdle,Léopold Simar Pdf

With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the 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. In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online.

Author : Jhareswar Maiti
Publisher : CRC Press
Page : 637 pages
File Size : 50,5 Mb
Release : 2022-10-25
Category : Mathematics
ISBN : 9781000618396

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Multivariate Statistical Modeling in Engineering and Management by Jhareswar Maiti Pdf

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.

Author : R. Gnanadesikan
Publisher : Unknown
Page : 128 pages
File Size : 47,7 Mb
Release : 1997-05-01
Category : Multivariate analysis
ISBN : 0471890693

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Methods for Statistical Data Analysis of Multivariate Observations by R. Gnanadesikan Pdf

Author : Lucien Marie Le Cam,Jerzy Neyman
Publisher : Unknown
Page : 512 pages
File Size : 54,8 Mb
Release : 1967
Category : Mathematical statistics
ISBN : UCLA:L0057849549

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Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability: pts. 1-2. Contributions to probability theory by Lucien Marie Le Cam,Jerzy Neyman Pdf

Author : Jing Wang,Jinglin Zhou,Xiaolu Chen
Publisher : Springer Nature
Page : 277 pages
File Size : 41,6 Mb
Release : 2022-01-03
Category : Technology & Engineering
ISBN : 9789811680441

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring by Jing Wang,Jinglin Zhou,Xiaolu Chen Pdf

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.

Author : Brian Everitt,Torsten Hothorn
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 49,6 Mb
Release : 2011-04-23
Category : Mathematics
ISBN : 9781441996503

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An Introduction to Applied Multivariate Analysis with R by Brian Everitt,Torsten Hothorn Pdf

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Author : Francis Henry Charles Marriott
Publisher : Unknown
Page : 136 pages
File Size : 43,8 Mb
Release : 1974
Category : Mathematics
ISBN : UOM:39015015728549

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The Interpretation of Multiple Observations by Francis Henry Charles Marriott Pdf

The multivariate normal distribution; Principal component analysis; Canonical variables; Discriminant analysis; Factor analysis; Distance, similarity and scaling; Cluster analysis and related problems;

Author : Anthony C. Atkinson,Marco Riani,Andrea Cerioli
Publisher : Springer Science & Business Media
Page : 642 pages
File Size : 50,8 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9780387218403

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Exploring Multivariate Data with the Forward Search by Anthony C. Atkinson,Marco Riani,Andrea Cerioli Pdf

This book is concerned with data in which the observations are independent and in which the response is multivariate. Companion book to Robust Diagnostic Regression Analysis (ISBN 0-387-95017) published by Springer in 2000.

Author : Anonim
Publisher : Academic Press
Page : 428 pages
File Size : 48,6 Mb
Release : 1989-07-17
Category : Science
ISBN : 0080566251

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Advances in Clinical Chemistry by Anonim Pdf

Advances in Clinical Chemistry

Author : M. Hazewinkel
Publisher : Springer
Page : 932 pages
File Size : 50,9 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781489937919

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Encyclopaedia of Mathematics by M. Hazewinkel Pdf

Author : Emanuel Donchin
Publisher : Unknown
Page : 424 pages
File Size : 51,9 Mb
Release : 1969
Category : Electroencephalography
ISBN : NASA:31769000653785

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Average Evoked Potentials - Methods, Results, and Evaluations by Emanuel Donchin Pdf

Author : Alvin C. Rencher,William F. Christensen
Publisher : John Wiley & Sons
Page : 800 pages
File Size : 46,5 Mb
Release : 2012-08-15
Category : Mathematics
ISBN : 9781118391679

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Methods of Multivariate Analysis by Alvin C. Rencher,William F. Christensen Pdf

Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere." —IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. This Third Edition continues to explore the key descriptive and inferential procedures that result from multivariate analysis. Following a brief overview of the topic, the book goes on to review the fundamentals of matrix algebra, sampling from multivariate populations, and the extension of common univariate statistical procedures (including t-tests, analysis of variance, and multiple regression) to analogous multivariate techniques that involve several dependent variables. The latter half of the book describes statistical tools that are uniquely multivariate in nature, including procedures for discriminating among groups, characterizing low-dimensional latent structure in high-dimensional data, identifying clusters in data, and graphically illustrating relationships in low-dimensional space. In addition, the authors explore a wealth of newly added topics, including: Confirmatory Factor Analysis Classification Trees Dynamic Graphics Transformations to Normality Prediction for Multivariate Multiple Regression Kronecker Products and Vec Notation New exercises have been added throughout the book, allowing readers to test their comprehension of the presented material. Detailed appendices provide partial solutions as well as supplemental tables, and an accompanying FTP site features the book's data sets and related SAS® code. Requiring only a basic background in statistics, Methods of Multivariate Analysis, Third Edition is an excellent book for courses on multivariate analysis and applied statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for both statisticians and researchers across a wide variety of disciplines.