Synopsis "Methods of Multivariate Analysis (in English)"
Praise for the Second Edition"This book is a systematic, well-written, well-organized texton multivariate analysis packed with intuition and insight . . .There is much practical wisdom in this book that is hard to findelsewhere."—IIE TransactionsFilled with new and timely content, Methods of MultivariateAnalysis, Third Edition provides examples and exercises basedon more than sixty real data sets from a wide variety of scientificfields. It takes a "methods" approach to the subject, placing anemphasis on how students and practitioners can employ multivariateanalysis in real-life situations.This Third Edition continues to explore the keydescriptive and inferential procedures that result frommultivariate analysis. Following a brief overview of the topic, thebook goes on to review the fundamentals of matrix algebra, samplingfrom multivariate populations, and the extension of commonunivariate statistical procedures (including t-tests,analysis of variance, and multiple regression) to analogousmultivariate techniques that involve several dependent variables.The latter half of the book describes statistical tools that areuniquely multivariate in nature, including procedures fordiscriminating among groups, characterizing low-dimensional latentstructure in high-dimensional data, identifying clusters in data,and graphically illustrating relationships in low-dimensionalspace. In addition, the authors explore a wealth of newly addedtopics, including:Confirmatory Factor AnalysisClassification TreesDynamic GraphicsTransformations to NormalityPrediction for Multivariate Multiple RegressionKronecker Products and Vec NotationNew exercises have been added throughout the book, allowingreaders to test their comprehension of the presented material.Detailed appendices provide partial solutions as well assupplemental tables, and an accompanying FTP site features thebook's data sets and related SAS® code.Requiring only a basic background in statistics, Methods ofMultivariate Analysis, Third Edition is an excellent book forcourses on multivariate analysis and applied statistics at theupper-undergraduate and graduate levels. The book also serves as avaluable reference for both statisticians and researchers across awide variety of disciplines.
