Approaching Multivariate Analysis 2nd Edition

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Approaching Multivariate Analysis, 2nd Edition

Pat Dugard,John Todman,Harry Staines
Approaching Multivariate Analysis 2nd Edition Book PDF

Author : Pat Dugard,John Todman,Harry Staines
Publisher : Taylor & Francis
Page : 440 pages
File Size : 48,6 Mb
Release : 2022-06-30
Category : Psychology
ISBN : 9781000787252

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Approaching Multivariate Analysis, 2nd Edition by Pat Dugard,John Todman,Harry Staines Pdf

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems. This book provides a non-mathematical introduction to multivariate methods, with an emphasis on helping the reader gain an intuitive understanding of what each method is for, what it does and how it does it. The first chapter briefly reviews the main concepts of univariate and bivariate methods and provides an overview of the multivariate methods that will be discussed, bringing out the relationships among them, and summarising how to recognise what types of problem each of them may be appropriate for tackling. In the remaining chapters, introductions to the methods and important conceptual points are followed by the presentation of typical applications from psychology and medicine, using examples with fabricated data. Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, as well as details of how to interpret and report the output, and extracts of SPSS syntax and code from relevant SAS procedures. This book gets students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, medical students and students or academics in any discipline that uses multivariate methods.

Approaching Multivariate Analysis

Pat Dugard,John B. Todman,Harry Staines
Approaching Multivariate Analysis Book PDF

Author : Pat Dugard,John B. Todman,Harry Staines
Publisher : Unknown
Page : 424 pages
File Size : 46,6 Mb
Release : 2010
Category : Psychology
ISBN : 0415478286

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Approaching Multivariate Analysis by Pat Dugard,John B. Todman,Harry Staines Pdf

This edition has been expanded to include new chapters describing methods and examples of particular interest to medical researchers It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems.

Methods of Multivariate Analysis

Alvin C. Rencher
Methods of Multivariate Analysis Book PDF

Author : Alvin C. Rencher
Publisher : Wiley-Interscience
Page : 738 pages
File Size : 43,7 Mb
Release : 2003-04-14
Category : Mathematics
ISBN : 9780471461722

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Methods of Multivariate Analysis by Alvin C. Rencher Pdf

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 Statistical Analysis

Mukhopadhyay Parimal
Multivariate Statistical Analysis Book PDF

Author : Mukhopadhyay Parimal
Publisher : World Scientific Publishing Company
Page : 568 pages
File Size : 53,5 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.

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition

Norm O'Rourke,Larry Hatcher,Edward J. Stepanski,SAS Institute Inc.,Alan Agresti
A Step by Step Approach to Using SAS for Univariate Multivariate Statistics 2nd Edition An Introduction to Categorical Data Analysis 2nd Edition Book PDF

Author : Norm O'Rourke,Larry Hatcher,Edward J. Stepanski,SAS Institute Inc.,Alan Agresti
Publisher : Wiley-Interscience
Page : 0 pages
File Size : 51,5 Mb
Release : 2008-03-14
Category : Mathematics
ISBN : 0470388005

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A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition by Norm O'Rourke,Larry Hatcher,Edward J. Stepanski,SAS Institute Inc.,Alan Agresti Pdf

This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by Norm O'Rourke, Larry Hatcher, Edward J. Stepanski, SAS Institute Inc and 9780471226185 An Introduction to Categorical Data Analysis, Second Edition by Alan Agresti.

Applied Multivariate Data Analysis

Brian S. Everitt,Graham Dunn
Applied Multivariate Data Analysis Book PDF

Author : Brian S. Everitt,Graham Dunn
Publisher : Wiley
Page : 342 pages
File Size : 47,8 Mb
Release : 2009-04-20
Category : Mathematics
ISBN : 0340741228

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Applied Multivariate Data Analysis by Brian S. Everitt,Graham Dunn Pdf

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.

Applied Multivariate Statistics with SAS Software

Ravindra Khattree,Dayanand N. Naik
Applied Multivariate Statistics with SAS Software Book PDF

Author : Ravindra Khattree,Dayanand N. Naik
Publisher : Wiley-SAS
Page : 360 pages
File Size : 48,8 Mb
Release : 1999-04-09
Category : Mathematics
ISBN : 0471322997

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Applied Multivariate Statistics with SAS Software by Ravindra Khattree,Dayanand N. Naik Pdf

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on * mixed effects models * applications of the MIXED procedure * regression diagnostics with the correspoding IML procedure code * covariance structures. The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.

Approaching Multivariate Analysis

John B. Todman,Pat Dugard
Approaching Multivariate Analysis Book PDF

Author : John B. Todman,Pat Dugard
Publisher : Unknown
Page : 308 pages
File Size : 47,7 Mb
Release : 2007
Category : Mathematics
ISBN : 0415396735

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Approaching Multivariate Analysis by John B. Todman,Pat Dugard Pdf

Approaching Multivariate Analysis provides an introduction to a range of advanced statistical techniques that are used in psychology, in an accessible, non-mathematical way. The authors take a practical approach with an emphasis on helping the reader to gain an understanding of what each method is for, what it does, and how it does it. Topics covered in this book are: ANOVA, MANOVA, ANCOVA Multiple regression and partial correlation Factor analysis, cluster analysis and multidimensional scaling Path analysis, and mediation and moderation analysis Discriminant analysis, logistic regression and loglinear analysis. Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, and details of how to interpret and report the output are also provided. This book aims to get students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, and for students and academic staff in disciplines other than psychology that use multivariate methods.

Multivariate Analysis for the Biobehavioral and Social Sciences

Bruce L. Brown,Suzanne B. Hendrix,Dawson W. Hedges,Timothy B. Smith
Multivariate Analysis for the Biobehavioral and Social Sciences Book PDF

Author : Bruce L. Brown,Suzanne B. Hendrix,Dawson W. Hedges,Timothy B. Smith
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 55,7 Mb
Release : 2011-11-01
Category : Mathematics
ISBN : 9781118131619

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Multivariate Analysis for the Biobehavioral and Social Sciences by Bruce L. Brown,Suzanne B. Hendrix,Dawson W. Hedges,Timothy B. Smith Pdf

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.

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

Jane E. Miller
The Chicago Guide to Writing about Multivariate Analysis Second Edition Book PDF

Author : Jane E. Miller
Publisher : University of Chicago Press
Page : 576 pages
File Size : 44,6 Mb
Release : 2013-09-26
Category : Mathematics
ISBN : 9780226038193

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

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.

Multivariate Analysis for the Behavioral Sciences, Second Edition

Kimmo Vehkalahti,Brian S. Everitt
Multivariate Analysis for the Behavioral Sciences Second Edition Book PDF

Author : Kimmo Vehkalahti,Brian S. Everitt
Publisher : CRC Press
Page : 415 pages
File Size : 45,6 Mb
Release : 2018-12-19
Category : Mathematics
ISBN : 9781351202268

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Multivariate Analysis for the Behavioral Sciences, Second Edition by Kimmo Vehkalahti,Brian S. Everitt Pdf

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics

Multivariate Statistics

Yasunori Fujikoshi,Vladimir V. Ulyanov,Ryoichi Shimizu
Multivariate Statistics Book PDF

Author : Yasunori Fujikoshi,Vladimir V. Ulyanov,Ryoichi Shimizu
Publisher : John Wiley & Sons
Page : 564 pages
File Size : 45,7 Mb
Release : 2011-08-15
Category : Mathematics
ISBN : 9780470539866

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Multivariate Statistics by Yasunori Fujikoshi,Vladimir V. Ulyanov,Ryoichi Shimizu Pdf

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.

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics

Norm O'Rourke,Larry Hatcher,Edward J. Stepanski
A Step by Step Approach to Using SAS for Univariate Multivariate Statistics Book PDF

Author : Norm O'Rourke,Larry Hatcher,Edward J. Stepanski
Publisher : SAS Institute
Page : 552 pages
File Size : 49,8 Mb
Release : 2005
Category : Computers
ISBN : 9781590474174

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A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics by Norm O'Rourke,Larry Hatcher,Edward J. Stepanski Pdf

Providing practice data inspired by actual studies, this book explains how to choose the right statistic, understand the assumptions underlying the procedure, prepare an SAS program for an analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association.

Multivariate Statistics

Bernhard Flury
Multivariate Statistics Book PDF

Author : Bernhard Flury
Publisher : Springer
Page : 314 pages
File Size : 41,9 Mb
Release : 2011-09-20
Category : Science
ISBN : 9401070415

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Multivariate Statistics by Bernhard Flury Pdf

During the last twenty years multivariate statistical methods have become increasingly popular among scientists in various fields. The theory had already made great progress in previous decades and routine applications of multivariate methods followed with the advent of fast computers. Nowadays statistical software packages perform in seconds what used to take weeks of tedious calculations. Although this is certainly a welcome development, we find, on the other hand, that many users of statistical packages are not too sure of what they are doing, and this is especially true for multivariate statistical methods. Many researchers have heard about such techniques and feel intuitively that multivariate methods could be useful for their own work, but they haven't mastered the usual mathematical prerequisites. This book tries to fill the gap by explaining - in words and graphs - some basic concepts and selected methods of multivariate statistical analysis. Why another book? Are the existing books on applied multivariate statistics all obsolete? No, some of them are up to date and, indeed, quite good.

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

Norm O'Rourke, Ph.D., R.Psych.,Larry Hatcher, Ph.D.
A Step by Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling Second Edition Book PDF

Author : Norm O'Rourke, Ph.D., R.Psych.,Larry Hatcher, Ph.D.
Publisher : SAS Institute
Page : 444 pages
File Size : 53,9 Mb
Release : 2013-03-23
Category : Computers
ISBN : 9781629592442

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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition by Norm O'Rourke, Ph.D., R.Psych.,Larry Hatcher, Ph.D. Pdf

This easy-to-understand guide makes SEM accessible to all users. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.