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Applied Statistics: Analysis of Variance and Regression, 2nd Edition [Hardcover]

Olive Jean Dunn (Author), Virginia A. Clark (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Hardcover $127.44  
Hardcover, April 27, 1987 --  
Paperback $79.93  
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There is a newer edition of this item:
Applied Statistics: Analysis of Variance and Regression (Wiley Series in Probability and Statistics) Applied Statistics: Analysis of Variance and Regression (Wiley Series in Probability and Statistics) 5.0 out of 5 stars (1)
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Book Description

April 27, 1987 0471812692 978-0471812692 2
A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer program to perform the analysis, and a new chapter on repeated measures designs.

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Editorial Reviews

Review

"…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) --This text refers to an alternate Hardcover edition.

From the Publisher

A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer program to perform the analysis, and a new chapter on repeated measures designs.

Product Details

  • Hardcover: 464 pages
  • Publisher: Wiley; 2 edition (April 27, 1987)
  • Language: English
  • ISBN-10: 0471812692
  • ISBN-13: 978-0471812692
  • Product Dimensions: 9.1 x 5.9 x 1 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,482,972 in Books (See Top 100 in Books)

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2 of 3 people found the following review helpful:
5.0 out of 5 stars Good Combination of ANOVA and Regression, May 14, 2006
I checked Dr. Mickey's textbook out from Tsing-Hua Univ (Taiwan) Library for preparing my MBA thesis regarding the interaction effects. Given the widespread use of the SPSS or SAS, this practical and concise volume is suitable for premiere researchers and veteran practitioners.
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