An R and S-PLUS® Companion to Multivariate Analysis

Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package...

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書誌詳細
第一著者: Everitt, Brian Sidney, 1944-
その他の著者: Casella, George, 1951-2012 (出版デイレクター), Fienberg, Stephen E., 1942-2016 (出版デイレクター), Olkin, Ingram, 1924-2016 (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: London : Springer London [20..].
Cham : Springer Nature
版:1st ed. 2005.
シリーズ:Springer Texts in Statistics
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注記: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• An R and S-PLUS companion to multivariate analysis, Brian S. Everitt, 2005, New York, Springer-Verlag, 1 vol. (XIII-221 p.), Springer texts in statistics, 1-85233-882-2
• An R and S-Plus® Companion to Multivariate Analysis, Texte imprimé, 9781849969444
• An R and S-Plus® Companion to Multivariate Analysis, Texte imprimé, 9781848007949
• An R and S-PLUS companion to multivariate analysis, Brian S. Everitt, 2005, New York, Springer-Verlag, 1 vol. (XIII-221 p.), Springer texts in statistics, 1-85233-882-2
その他の書誌記述
要約:Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King s College, London.
記述事項:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
書誌:Bibliogr. Index
ISBN:9781846281242
ISSN:2197-4136
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