Applied Statistics 3E: Analysis of Variance and Regression - Brossura

Mickey, Ruth M.

Brossura

ISBN 10: 047057125X ISBN 13: 9780470571255

Casa editrice: Wiley, 2010

Riassunto

This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student.
* Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.
* Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.
* Includes both graded and challenging exercises.
* Liberal computer discussions now supplemented with SAS and SPSS.

Su questo libro

L'autore:

Ruth M. Mickey, PhD, is Professor of Mathematics and Statistics at the University of Vermont.

The late Olive Jean Dunn, PhD, was Professor Emerita of Biostatistics and Biomathematics at the University of California, Los Angeles.

Virginia A. Clark, PhD, is Professor Emerita of Biostatistics and Biomathematics at the University of California, Los Angeles.

Dalla quarta di copertina:

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

". . . overall this is an excellent book . . . I recommend this book to everyone . . ."
—Statistical Methods in Medical Research

". . . it contains a wealth of useful up-to-date information and examples from the health sciences."
—Technometrics

Applied Statistics: Analysis of Variance and Regression, Third Edition has been thoroughly revised to provide a comprehensive and up-to-date combination of sound statistical methodology, practical advice on the application of this methodology, and interpretation of output from statistical programs. Special features include comprehensive treatment of each topic, from summarization of data to presentation of results; a greater emphasis on regression, data screening, and confidence intervals; in-depth discussion of design-related topics such as mixed models and random effects; and overviews of more advanced topics. This valuable, self-contained textbook is eminently suitable for upper-undergraduate/graduate students and applied researchers with an interest in ANOVA techniques.

Su questa edizione

• Editore: Wiley
• Data di pubblicazione: 2010
• ISBN 10: 047057125X
• ISBN 13: 9780470571255
• Rilegatura: Copertina flessibile
• Numero edizione: 3
• Numero di pagine: 478