Isbn: 9780470711170 - applied multivariate data analysis (7 Ergebnisse)

Paperback. Zustand: Fair. 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.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. 464.

Zustand: New. 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. . 2010. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. 2nd edition. 464 pages. 9.50x6.25x1.00 inches. In Stock.

Kartoniert / Broschiert. Zustand: New. 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 d.