An Introduction To Applied Multivariate Analysis

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An Introduction to Applied Multivariate Analysis with R

Brian Everitt,Torsten Hothorn
An Introduction to Applied Multivariate Analysis with R Book PDF

Author : Brian Everitt,Torsten Hothorn
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 47,9 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.

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 : 49,9 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

An Introduction to Applied Multivariate Statistics

M. S. Srivastava,Edward M. Carter
An Introduction to Applied Multivariate Statistics Book PDF

Author : M. S. Srivastava,Edward M. Carter
Publisher : North-Holland
Page : 416 pages
File Size : 52,9 Mb
Release : 1983
Category : Multivariate analysis
ISBN : UCSD:31822010222610

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An Introduction to Applied Multivariate Statistics by M. S. Srivastava,Edward M. Carter Pdf

Some results on matrices; Multivariate normal distributions; Inference on location - Hotelling's T2; Mutlivariate analysis of variance; Multivariate regression; Analysis of growth curves; Repeated measures and profile analysis; Classification and discrimination; Correlation; Principal component analysis; Factor analysis; Inference on covariance matrices.

Applied Multivariate Analysis

Neil H. Timm
Applied Multivariate Analysis Book PDF

Author : Neil H. Timm
Publisher : Springer Science & Business Media
Page : 709 pages
File Size : 55,7 Mb
Release : 2007-06-21
Category : Mathematics
ISBN : 9780387227719

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Applied Multivariate Analysis by Neil H. Timm Pdf

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.

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 Analysis

S. James Press
Applied Multivariate Analysis Book PDF

Author : S. James Press
Publisher : Courier Corporation
Page : 706 pages
File Size : 41,9 Mb
Release : 2012-09-05
Category : Mathematics
ISBN : 9780486139388

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Applied Multivariate Analysis by S. James Press Pdf

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.

Applied Multivariate Research

Lawrence S. Meyers,Glenn Gamst,A.J. Guarino
Applied Multivariate Research Book PDF

Author : Lawrence S. Meyers,Glenn Gamst,A.J. Guarino
Publisher : SAGE Publications
Page : 938 pages
File Size : 53,8 Mb
Release : 2016-10-28
Category : Social Science
ISBN : 9781506329789

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Applied Multivariate Research by Lawrence S. Meyers,Glenn Gamst,A.J. Guarino Pdf

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

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 : 50,6 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 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 : 54,7 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".

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 : 50,8 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.

Applied Multivariate Statistics for the Social Sciences

Keenan A. Pituch,James P. Stevens
Applied Multivariate Statistics for the Social Sciences Book PDF

Author : Keenan A. Pituch,James P. Stevens
Publisher : Routledge
Page : 814 pages
File Size : 44,5 Mb
Release : 2015-12-07
Category : Psychology
ISBN : 9781317805922

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Applied Multivariate Statistics for the Social Sciences by Keenan A. Pituch,James P. Stevens Pdf

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises) Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Applied Multivariate Statistical Analysis

Richard Arnold Johnson,Dean W. Wichern
Applied Multivariate Statistical Analysis Book PDF

Author : Richard Arnold Johnson,Dean W. Wichern
Publisher : Unknown
Page : 800 pages
File Size : 51,7 Mb
Release : 2002
Category : Business & Economics
ISBN : STANFORD:36105110385015

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Applied Multivariate Statistical Analysis by Richard Arnold Johnson,Dean W. Wichern Pdf

& This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples. & Offers an abundance of examples and exercises based on real data.& Appropriate for experimental scientists in a variety of disciplines.

Practical Multivariate Analysis

Abdelmonem Afifi,Susanne May,Robin Donatello,Virginia A. Clark
Practical Multivariate Analysis Book PDF

Author : Abdelmonem Afifi,Susanne May,Robin Donatello,Virginia A. Clark
Publisher : CRC Press
Page : 528 pages
File Size : 51,8 Mb
Release : 2019-10-16
Category : Mathematics
ISBN : 9781351788908

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Practical Multivariate Analysis by Abdelmonem Afifi,Susanne May,Robin Donatello,Virginia A. Clark Pdf

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.

Applied Multivariate Statistical Concepts

Debbie L. Hahs-Vaughn
Applied Multivariate Statistical Concepts Book PDF

Author : Debbie L. Hahs-Vaughn
Publisher : Routledge
Page : 812 pages
File Size : 42,7 Mb
Release : 2016-12-01
Category : Psychology
ISBN : 9781317811367

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Applied Multivariate Statistical Concepts by Debbie L. Hahs-Vaughn Pdf

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader’s master key concepts so they can implement and interpret results generated by today’s sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a ‘mathematical snapshot’ that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what’s to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text’s datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors

Mathematical Tools for Applied Multivariate Analysis

Paul E. Green
Mathematical Tools for Applied Multivariate Analysis Book PDF

Author : Paul E. Green
Publisher : Academic Press
Page : 402 pages
File Size : 52,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483214047

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Mathematical Tools for Applied Multivariate Analysis by Paul E. Green Pdf

Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students.