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Brian S. Everitt - Applied Multivariate Data Analysis - 9780470711170 - V9780470711170
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Applied Multivariate Data Analysis

€ 58.76
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Description for Applied Multivariate Data Analysis Paperback. 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. Num Pages: black & white illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 235 x 160 x 19. Weight in Grams: 512.
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 2nd 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 ... Read more

Product Details

Format
Paperback
Publication date
2001
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
354
Condition
New
Number of Pages
354
Place of Publication
New York, United States
ISBN
9780470711170
SKU
V9780470711170
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Brian S. Everitt
Brian S. Everitt is Professor of Behavioural Statistics and Head of the Biostatistics and Computing Department at the Institute of Psychiatry, King’s College London, UK Graham Dunn is Professor of Biomedical Statistics and Head of the Biostatistics Group within the School of Epidemiology and Health Sciences, University of Manchester, UK

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