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R and S-Plus® Companion to Multivariate Analysis - 
      Brian S. Everitt

R and S-Plus® Companion to Multivariate Analysis

«<p>From the reviews:</p> <p>"This text is much more than just an R/S programming guide. Brian Everitt's expertise in multivariate data analysis shines through brilliantly." <em>Journal of the American Statistical Association, June 2006</em></p> <p>"This text concentrates on the major methods that are applied to multivariate data. … Suitable R and S-PLUS code is presented for each technique. The data sets and the code used in the book are available for download from the web. The R and S-PLUS output is often edited in the text to improve its readability, and some ‘point-and-click’ features of the S-PLUS GUI are demonstrated. … This book is suitable for applied statisticians and advanced undergraduate and postgraduate students … exploring multivariate data." (Susan R. Wilson, Zentralblatt MATH, Vol. 1082, 2006)</p> <p>"There are currently many textbooks available discussing multivariate analysis, varying from the theoretical to the applied. … Both the statist»

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. Les mer
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Innbundet
Legg i
Vår pris: 1181,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he's got it right.
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Utgitt:
Forlag: Springer London Ltd
Innbinding: Innbundet
Språk: Engelsk
Sider: 221
ISBN: 9781852338824
Format: 24 x 16 cm
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VURDERING
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Les vurderinger
Multivariate Data and Multivariate Analysis.- Looking at Multivariate Data.- Principal Components Analysis.- Exploratory Factor Analysis.- Multidimensional Scaling and Correspondence Analysis.- Cluster Analysis.- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis.- Multiple Regression and Canonical Correlation.- Analysis of Repeated Measures Data.
Brian Everitt is Emeritus Professor of Statistics, King's College, London