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Applied Multivariate Data Analysis Paperback - 2010
by Brian S. Everitt; Graham Dunn
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- Acceptable
- Paperback
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Details
- Title Applied Multivariate Data Analysis
- Author Brian S. Everitt; Graham Dunn
- Binding Paperback
- Edition 2nd Edition
- Condition Used - Acceptable
- Pages 354
- Volumes 1
- Language ENG
- Publisher Wiley & Sons, Incorporated, John
- Publication date 2010
- Bookseller's Inventory # G0470711175I5N00
- ISBN 9780470711170 / 0470711175
- Weight 1.09 lbs (0.49 kg)
- Dimensions 9.21 x 6.14 x 0.74 in (23.39 x 15.60 x 1.88 cm)
- Category Mathematics
- Dewey Decimal Code 519.535
- Quantity available 1
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From the publisher
From the rear cover
Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure.
This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its second edition, Applied Multivariate Data Analysis has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, this title provides clear explanations of each technique, supported by figures and examples, using minimal technical jargon. With extensive exercises following every chapter, the book is a valuable resource for students on applied statistics courses and for applied researchers in many disciplines.
