Multivariate Analysis Of Variance
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Multivariate Analysis Of Variance
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Author : James H. Bray
language : en
Publisher: SAGE
Release Date : 1985
Multivariate Analysis Of Variance written by James H. Bray and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.
Analysis of variance (ANOVA) is one of the most frequently employed statistical techniques in the social sciences because it provides a flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and represents a logical extension of an earlier paper in this series, Analysis of Variance. It provides a unique perspective for readers seeking to understand how MANOVA works and how to interpret MANOVA analyses.
Multivariate Analysis Of Variance Manova
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Author : Harry R. Barker
language : en
Publisher:
Release Date : 1984
Multivariate Analysis Of Variance Manova written by Harry R. Barker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Mathematics categories.
Multivariate Analysis Of Variance And Repeated Measures
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Author : David J. Hand
language : en
Publisher: CRC Press
Release Date : 1987-05-01
Multivariate Analysis Of Variance And Repeated Measures written by David J. Hand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-05-01 with Mathematics categories.
This book describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories and this is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on the multiple dependent variables measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.
Methods Of Multivariate Analysis
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Author : Alvin C. Rencher
language : en
Publisher: John Wiley & Sons
Release Date : 2003-04-14
Methods Of Multivariate Analysis written by Alvin C. Rencher and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-14 with Mathematics categories.
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.
Applied Multivariate Analysis
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Author : S. James Press
language : en
Publisher: Courier Corporation
Release Date : 2005-06-28
Applied Multivariate Analysis written by S. James Press and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-28 with Mathematics categories.
Includes practical elements of matrix theory, continuous multivariate distributions and basic multivariate statistics in the normal distribution; regression and the analysis of variance; 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. 1982 edition.
Multivariate Analysis Of Variance Manova
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Author : Harry R. Barker
language : en
Publisher:
Release Date : 1984-01-01
Multivariate Analysis Of Variance Manova written by Harry R. Barker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-01-01 with categories.
Introduction To Multivariate Analysis
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Author : Chris Chatfield
language : en
Publisher: CRC Press
Release Date : 1981-05-15
Introduction To Multivariate Analysis written by Chris Chatfield and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981-05-15 with Mathematics categories.
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis, traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research, soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.
Applied Multivariate Statistics For The Social Sciences
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Author : James Stevens
language : en
Publisher: Psychology Press
Release Date : 1996
Applied Multivariate Statistics For The Social Sciences written by James Stevens and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Education categories.
Of Important Points -- Two-Group Multivariate Analysis Of Variance -- Four Statistical Reasons for Preferring a Multivariate Analysis -- The Multivariate Test Statistic as a Generalization of Univariate t -- Numerical Calculations for a Two-Group Problem -- Three Post Hoc Procedures -- SAS and SPSS Control Lines for Sample Problem and Selected Printout -- Multivariate Significance but No Univariate Significance -- Multivariate Regression Analysis for the Sample Problem -- Power Analysis -- Ways of Improving Power -- Power Estimation on SPSS MANOVA -- Multivariate Estimation of Power -- K-Group Manova: A Priori And Post Hoc Procedures -- Multivariate Regression Analysis for a Sample Problem -- Traditional Multivariate Analysis of Variance -- Multivariate Analysis of Variance for Sample Data -- Post Hoc Procedures -- The Tukey Procedure -- Planned Comparisons -- Test Statistics for Planned Comparisons -- Multivariate Planned Comparisons on SPSS MANOVA -- Correlated Contrasts -- Studies Using Multivariate Planned Comparisons -- Stepdown Analysis -- Other Multivariate Test Statistics -- How Many Dependent Variables for a MANOVA? -- Power Analysis--A Priori Determination of Sample Size -- Novince (1977) Data for Multivariate Analysis of Variance Presented in Tables 5.3 and 5.4 -- Assumptions In Manova -- ANOVA and MANOVA Assumptions -- Independence Assumption -- What Should Be Done With Correlated Observations? -- Normality Assumption -- Multivariate Normality -- Assessing Univariate Normality -- Homogeneity of Variance Assumption.
Multivariable Analysis
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Author : Mitchell H. Katz
language : en
Publisher: Cambridge University Press
Release Date : 2006-02-09
Multivariable Analysis written by Mitchell H. Katz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-09 with Mathematics categories.
How to perform and interpret multivariable analysis, using plain language rather than complex derivations.
Multivariate Analysis
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Author : Klaus Backhaus
language : en
Publisher: Springer Nature
Release Date : 2021-10-13
Multivariate Analysis written by Klaus Backhaus and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-13 with Business & Economics categories.
Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 16th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.