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 easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, "Applied Multivariate Data Analysis" is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Graham Dunn, School of Epidemiology and Health Sciences, University of Manchester, UK
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains pencil markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780340741221. N° de réf. du vendeur 9807175
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