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Synopsis
This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Chapter topics include aspects of multivariate analysis, matrix algebra and random vectors, sample geometry and random sampling, the multivariate normal distribution, inferences about a mean vector, comparisons of several multivariate means, multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices, canonical correlation analysis, and discrimination and classification. For experimental scientists in a variety of disciplines.
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From the Back Cover
This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Chapter topics include aspects of multivariate analysis, matrix algebra and random vectors, sample geometry and random sampling, the multivariate normal distribution, inferences about a mean vector, comparisons of several multivariate means, multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices, canonical correlation analysis, and discrimination and classification. For experimental scientists in a variety of disciplines.
"About this title" may belong to another edition of this title.
- PublisherPearson College Div
- Publication date2002
- ISBN 10 0130925535
- ISBN 13 9780130925534
- BindingHardcover
- LanguageEnglish
- Number of pages767
- Rating
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Applied Multivariate Statistical Analysis
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Pearson College Div (edition Subsequent), 2002
ISBN 10: 0130925535
ISBN 13: 9780130925534
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Applied Multivariate Statistical Analysis Johnson, Richard Arnold and Wichern, Dean W.
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