Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: Wiley
ISBN: 0470178965
Size: 69.83 MB
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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.


Statistical Analysis An Interdisciplinary Introduction To Univariate Multivariate Methods

Author: Sam Kash Kachigan
Publisher: Radius Pr
ISBN: 0942154991
Size: 77.77 MB
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This is an expanded edition of the author's "Multivariate Statistical Analysis." Twice as long, it includes all the material in that edition, but has a more extensive treatment of introductory methods, especially hypothesis testing, parameter estimation, and experimental design. It also introduces time series analysis, decision analysis, and more advanced probability topics (see the accompanying table of contents). It has been used as a textbook at the graduate level at over 300 leading universities, in over a dozen academic disciplines, including education, business, and the social and health sciences. Like its abridged edition, it has been acclaimed for its lucid treatment of difficult statistical concepts.

Time Series Analysis Univariate And Multivariate Methods

Author: William W. S. Wei
Publisher: Addison Wesley
ISBN: 0201159112
Size: 20.22 MB
Format: PDF, ePub, Docs
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Emphasizing and providing a broad coverage of methodology, this comprehensive book is of interest to a variety of people in the applied sciences who want to know how time series can be used in their areas of research. The book provides useful examples that show the operational details and purpose of the methods. It covers methods extensively, and illustrates them with numerous figures, tables and examples using many real-life time series data sets. The book also introduces univariate and multivariate time series models and methods which are useful for analyzing, modeling, and forecasting data collected sequentially in time, and provides a balanced treatment between theory and applications.

Time Series Analysis is a thorough introduction to both time-domain and frequency-domain analyses, and it gives extensive coverage of both univariate and multivariate time series methods, including the most recently developed techniques in the field.


Understanding The New Statistics Effect Sizes Confidence Intervals And Meta Analysis Multivariate Applications Series

Author: Geoff Cumming
Publisher: Routledge
ISBN: 041587968X
Size: 76.50 MB
Format: PDF
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This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines.

Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice.

The book’s pedagogical program, built on cognitive science principles, reinforces learning:

  • Boxes provide "evidence-based" advice on the most effective statistical techniques.
  • Numerous examples reinforce learning, and show that many disciplines are using the new statistics.
  • Graphs are tied in with ESCI to make important concepts vividly clear and memorable.
  • Opening overviews and end of chapter take-home messages summarize key points.
  • Exercises encourage exploration, deep understanding, and practical applications.

This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.


Applied Multivariate Analysis Using Bayesian And Frequentist Methods Of Inference Second Edition Dover Books On Mathematics

Author: S. James Press
Publisher: Dover Publications
ISBN: 0486442365
Size: 58.79 MB
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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.

Multivariate Statistical Methods A Primer Fourth Edition

Author: Bryan F.J. Manly
Publisher: Chapman and Hall/CRC
ISBN: 1498728960
Size: 23.78 MB
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Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.

The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.


Advanced And Multivariate Statistical Methods Practical Application And Interpretation

Author: Craig A. Mertler
Publisher: Routledge
ISBN: 1138289736
Size: 58.23 MB
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Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software.

New to the Sixth Edition

  • Instructor ancillaries are now available with the sixth edition.
  • All SPSS directions and screenshots have been updated to Version 23 of the software.
  • Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction.
  • Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

Analysis Of Multivariate Social Science Data Second Edition Chapman Hall Crc Statistics In The Social And Behavioral Sciences

Author: David J. Bartholomew
Publisher: Chapman and Hall/CRC
ISBN: 1584889608
Size: 38.23 MB
Format: PDF, Mobi
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Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models.

After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.

Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.

Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.


Advanced And Multivariate Statistical Methods Practical Application And Interpretation

Author: Craig A. Mertler
Publisher: Pyrczak Publishing
ISBN: 1884585590
Size: 52.95 MB
Format: PDF, Mobi
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• All the statistics traditionally covered in a second-level course are included.

• Stresses the conceptual and practical aspects for students who do not need emphasis on the underlying mathematical theory.

• Students learn not only the purpose of and how to compute the statistics using SPSS, they also learn the logic behind the techniques and how to test the underlying assumptions.

• Students are shown how to interpret, present, and write up the results for each technique.

• Exercises allow students to practice their newly acquired skills. The answer key will be provided with professors’ copies.

• If your students are overwhelmed by advanced statistics texts that are too technical and mathematical, you should examine this highly applied approach to multivariate statistics. Covers why, what, when and how. Ideal for nonmath majors.

• The numerous screenshots and examples of output make it easy for students to follow the text.

• Each statistical method is followed by an explanation of why a student might use that method, including a discussion of its purpose and sample research questions it can address.

• The authors also show a sample study with an example of how to write up the results. Students see firsthand how to present their statistical findings.

• Although SPSS is the program that is illustrated, students using any program will benefit greatly from the conceptual material.


Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: John Wiley & Sons
ISBN: 0471461725
Size: 69.65 MB
Format: PDF, ePub, Docs
View: 3562
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This textbook is likely to become a useful reference for students in their future work." —Journal of the American Statistical Association "In this well-written and interesting book, Rencher has done a great job in presenting intuitive and ...

Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: John Wiley & Sons
ISBN: 1118391675
Size: 38.76 MB
Format: PDF, Kindle
View: 3541
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Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight .

Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: John Wiley & Sons
ISBN: 9780470178966
Size: 64.42 MB
Format: PDF, ePub, Mobi
View: 2939
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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.

Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: John Wiley & Sons
ISBN: 1118391659
Size: 76.64 MB
Format: PDF, ePub
View: 1592
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Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight .

Methods Of Multivariate Analysis

Author: Alvin C. Rencher
Publisher: Wiley-Interscience
ISBN: 9780471418894
Size: 69.89 MB
Format: PDF, ePub, Docs
View: 3299
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This textbook is likely to become a useful reference for students in their future work." —Journal of the American Statistical Association "In this well-written and interesting book, Rencher has done a great job in presenting intuitive and ...

Multivariate Analysis

Author: William R. Dillon
Publisher: John Wiley & Sons Inc
ISBN: 9780471083177
Size: 44.57 MB
Format: PDF, Kindle
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Multivariate Analysis: Methods and Applications is an in-depth guide to multivariate methods.