An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics) - Hardcover

Buch 21 von 111: Springer Texts in Statistics

Everitt, Brian S.

 
9781852338824: An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics)
Hardcover
ISBN 10: 1852338822 ISBN 13: 9781852338824
Verlag: Springer, 2007

Inhaltsangabe

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.

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.

From the reviews:

"This text is much more than just an R/S programming guide. Brian Everitt's expertise in multivariate data analysis shines through brilliantly." Journal of the American Statistical Association, June 2006

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Brian Everitt is Emeritus Professor of Statistics, King’s College, London

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2007
Sprache
Englisch
ISBN 10 
1852338822
ISBN 13 
9781852338824
Einband
Gebundene Ausgabe
Anzahl der Seiten
234
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