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, Kinga (TM)s
College, London.
General
| Imprint: |
Springer London
|
| Country of origin: |
United Kingdom |
| Series: |
Springer Texts in Statistics |
| Release date: |
October 2007 |
| First published: |
2007 |
| Authors: |
Brian S. Everitt
|
| Dimensions: |
235 x 155 x 20mm (L x W x T) |
| Format: |
Hardcover
|
| Pages: |
221 |
| Edition: |
1st ed. 2005. Corr. 2nd printing 2007 |
| ISBN-13: |
978-1-85233-882-4 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
| LSN: |
1-85233-882-2 |
| Barcode: |
9781852338824 |
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