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.
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Editorial Reviews
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...provides a useful guide to the researcher wondering whether to attempt a multivariate analysis of variance and shows how thinking clearly about reseach questions can lead to approprite choice of analytic strategies.
-J. Duffy, The Times Higher Educational Supplement
-J. Duffy, The Times Higher Educational Supplement
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Inside This Book
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First Sentence:
A good way to begin this introductory chapter is with an attempt at a definition: precisely what do we mean by multivariate analysis of variance? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
blood plasma nicotine level, standard univariate analysis, noncentrality structure, attributable sum, epoch variables, grand mean vector, univariate questions, hypothesis matrices, hypothesis matrix, simultaneous test procedure, overall response level, formal coefficients, multivariate questions, three response variables, complete comparison, multivariate test statistics, girth measures, overall null hypothesis, polynomial components, root statistic, raw variables, hypothesis sum, nicotine yield, tar yield, polynomial trends Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sum of Mean, Addiction Research Unit, Bust Waist Hips Thigh Arm Roy New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
A good way to begin this introductory chapter is with an attempt at a definition: precisely what do we mean by multivariate analysis of variance? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
blood plasma nicotine level, standard univariate analysis, noncentrality structure, attributable sum, epoch variables, grand mean vector, univariate questions, hypothesis matrices, hypothesis matrix, simultaneous test procedure, overall response level, formal coefficients, multivariate questions, three response variables, complete comparison, multivariate test statistics, girth measures, overall null hypothesis, polynomial components, root statistic, raw variables, hypothesis sum, nicotine yield, tar yield, polynomial trends Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sum of Mean, Addiction Research Unit, Bust Waist Hips Thigh Arm Roy New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 10
books:
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59
books
cite this book:
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- Statistical Inference by Clifford Springer in Back Matter
- Experimental Designs by William Gemmel Cochran in Back Matter
- Simultaneous Statistical Inference (Springer Series in Statistics) by Rupert G. Jr. Miller in Back Matter
- A general model for multivariate analysis (International series in decision processes) by Jeremy D Finn in Back Matter
- Multivariate Analysis (Probability and Mathematical Statistics) by Kanti V. Mardia in Back Matter
See all 10 books this book cites
- Practical Longitudinal Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) by David J. Hand in Front Matter, and Back Matter
- Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis on page 10, and Back Matter
- Problem Solving: A statistician's guide, Second edition (Chapman & Hall/CRC Texts in Statistical Science) by Chris Chatfield in Front Matter
- Tools of Total Quality by Lyonnet in Front Matter
- Statistics in Research and Development, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by R. Caulcutt in Front Matter
See all 59 books citing this book
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