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Applied Statistics: Analysis of Variance and Regression by Ruth M. Mickey 9780471370383

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Description

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.

About the Author
RUTH M. MICKEY, PHD, is Professor of Statistics at the University of Vermont in Burlington.

OLIVE JEAN DUNN, PHD, is Professor Emeritus at the University of California, Los Angeles.

VIRGINIA A. CLARK, PHD, is also Professor Emeritus at the University of California, Los Angeles. Drs. Dunn and Clark are the authors of Basic Statistics: A Primer for Biomedical Sciences, Third Edition, published by Wiley.



Reviews
"...beginning level graduate students in statistics will find this book very valuable." (Journal of Statistical Computation and Simulation, January 2006)

"...Overall this is an excellent book...I recommend this book to everyone..." (Statistical Methods in Medical Research, Vol. 14, 2005)

"...The book is an excellent material for describing the data as well as a useful textbook for students to understand, apply and to interpret the statistical methods." (Zentralbaltt MATH, May 2005)

"...it contains a wealth of useful up-to-date information and examples from the health sciences." (Technometrics, November 2004)

"The level of the book is also more consistently intermediate...a few more advanced topics are now excluded." (The American Statistician, August 2004)





Book Information
ISBN 9780471370383
Author Ruth M. Mickey
Format Hardback
Page Count 448
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc
Weight(grams) 816g
Dimensions(mm) 236mm * 160mm * 38mm

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