Multivariate Statistics

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Multivariate Statistical Analysis

Mukhopadhyay Parimal
Multivariate Statistical Analysis Book PDF

Author : Mukhopadhyay Parimal
Publisher : World Scientific Publishing Company
Page : 568 pages
File Size : 52,8 Mb
Release : 2008-11-25
Category : Mathematics
ISBN : 9789813107113

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Multivariate Statistical Analysis by Mukhopadhyay Parimal Pdf

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. With its roots in matrix algebra, for which a separate chapter has been added as an appendix, the book includes both data-oriented techniques and a reasonable coverage of classical methods supplemented by comments about robustness and general practical applicability. It also illustrates the methods of numerical calculations at various stages.This self-contained 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.The author is a former Professor of the Indian Statistical Institute, India.

The Geometry of Multivariate Statistics

Thomas D. Wickens
The Geometry of Multivariate Statistics Book PDF

Author : Thomas D. Wickens
Publisher : Psychology Press
Page : 216 pages
File Size : 42,9 Mb
Release : 2014-02-25
Category : Psychology
ISBN : 9781317780229

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The Geometry of Multivariate Statistics by Thomas D. Wickens Pdf

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables. This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.

Modern Multivariate Statistical Techniques

Alan J. Izenman
Modern Multivariate Statistical Techniques Book PDF

Author : Alan J. Izenman
Publisher : Springer Science & Business Media
Page : 757 pages
File Size : 45,7 Mb
Release : 2009-03-02
Category : Mathematics
ISBN : 9780387781891

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Modern Multivariate Statistical Techniques by Alan J. Izenman Pdf

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.

Applied Multivariate Statistical Analysis (Classic Version)

Richard A. Johnson,Dean W. Wichern
Applied Multivariate Statistical Analysis Classic Version Book PDF

Author : Richard A. Johnson,Dean W. Wichern
Publisher : Pearson
Page : 808 pages
File Size : 43,6 Mb
Release : 2018-03-18
Category : Multivariate analysis
ISBN : 0134995392

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Applied Multivariate Statistical Analysis (Classic Version) by Richard A. Johnson,Dean W. Wichern Pdf

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

A Primer of Multivariate Statistics

Richard J. Harris
A Primer of Multivariate Statistics Book PDF

Author : Richard J. Harris
Publisher : Psychology Press
Page : 632 pages
File Size : 51,7 Mb
Release : 2001-05-01
Category : Psychology
ISBN : 9781135555436

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A Primer of Multivariate Statistics by Richard J. Harris Pdf

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

Multivariate Statistics for Wildlife and Ecology Research

Kevin McGarigal,Samuel A. Cushman,Susan Stafford
Multivariate Statistics for Wildlife and Ecology Research Book PDF

Author : Kevin McGarigal,Samuel A. Cushman,Susan Stafford
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 55,6 Mb
Release : 2013-12-01
Category : Science
ISBN : 9781461212881

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Multivariate Statistics for Wildlife and Ecology Research by Kevin McGarigal,Samuel A. Cushman,Susan Stafford Pdf

With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.

Multivariate Statistics:

Wolfgang Härdle,Zdeněk Hlávka
Multivariate Statistics Book PDF

Author : Wolfgang Härdle,Zdeněk Hlávka
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 48,6 Mb
Release : 2007-07-27
Category : Computers
ISBN : 9780387707846

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Multivariate Statistics: by Wolfgang Härdle,Zdeněk Hlávka Pdf

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis.

Using Multivariate Statistics

Barbara G. Tabachnick,Linda S. Fidell
Using Multivariate Statistics Book PDF

Author : Barbara G. Tabachnick,Linda S. Fidell
Publisher : Unknown
Page : 1060 pages
File Size : 54,6 Mb
Release : 2013
Category : Multivariate analysis
ISBN : 1292021314

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Using Multivariate Statistics by Barbara G. Tabachnick,Linda S. Fidell Pdf

A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.

Theory of Multivariate Statistics

Martin Bilodeau,David Brenner
Theory of Multivariate Statistics Book PDF

Author : Martin Bilodeau,David Brenner
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 50,6 Mb
Release : 2008-01-20
Category : Mathematics
ISBN : 9780387226163

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Theory of Multivariate Statistics by Martin Bilodeau,David Brenner Pdf

Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.

An Introduction to Applied Multivariate Analysis

Tenko Raykov,George A. Marcoulides
An Introduction to Applied Multivariate Analysis Book PDF

Author : Tenko Raykov,George A. Marcoulides
Publisher : Routledge
Page : 496 pages
File Size : 41,9 Mb
Release : 2008-03-10
Category : Business & Economics
ISBN : 9781136675997

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An Introduction to Applied Multivariate Analysis by Tenko Raykov,George A. Marcoulides Pdf

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

Handbook of Applied Multivariate Statistics and Mathematical Modeling

Howard E.A. Tinsley,Steven D. Brown
Handbook of Applied Multivariate Statistics and Mathematical Modeling Book PDF

Author : Howard E.A. Tinsley,Steven D. Brown
Publisher : Academic Press
Page : 721 pages
File Size : 45,6 Mb
Release : 2000-05-22
Category : Mathematics
ISBN : 0080533566

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Handbook of Applied Multivariate Statistics and Mathematical Modeling by Howard E.A. Tinsley,Steven D. Brown Pdf

Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.

Applied Multivariate Statistics with R

Daniel Zelterman
Applied Multivariate Statistics with R Book PDF

Author : Daniel Zelterman
Publisher : Springer Nature
Page : 469 pages
File Size : 48,7 Mb
Release : 2023-01-20
Category : Medical
ISBN : 9783031130052

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Applied Multivariate Statistics with R by Daniel Zelterman Pdf

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.

Applied Multivariate Statistics in Geohydrology and Related Sciences

Charles E. Brown
Applied Multivariate Statistics in Geohydrology and Related Sciences Book PDF

Author : Charles E. Brown
Publisher : Springer Science & Business Media
Page : 248 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642803284

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Applied Multivariate Statistics in Geohydrology and Related Sciences by Charles E. Brown Pdf

It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi cally is geared toward scientists doing studies in geohydrology and related geo sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".

Using R With Multivariate Statistics

Randall E. Schumacker
Using R With Multivariate Statistics Book PDF

Author : Randall E. Schumacker
Publisher : SAGE Publications
Page : 293 pages
File Size : 53,7 Mb
Release : 2015-07-06
Category : Social Science
ISBN : 9781483377988

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Using R With Multivariate Statistics by Randall E. Schumacker Pdf

Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

Applied Univariate, Bivariate, and Multivariate Statistics

Daniel J. Denis
Applied Univariate Bivariate and Multivariate Statistics Book PDF

Author : Daniel J. Denis
Publisher : John Wiley & Sons
Page : 760 pages
File Size : 42,6 Mb
Release : 2015-11-02
Category : Mathematics
ISBN : 9781118632314

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Applied Univariate, Bivariate, and Multivariate Statistics by Daniel J. Denis Pdf

A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.