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SAS for Linear Models Paperback – May 24, 2002

7 customer reviews
ISBN-13: 978-0471221746 ISBN-10: 0471221740 Edition: 4th

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Editorial Reviews

Review

"The third edition...was published over a decade ago. Thus...the amount of brand-new and updated material in the fourth edition would fully justify its purchase." (The American Statistician, Vol. 58, No. 1, February 2004)

"...the authors have done an excellent job incorporating the latest analysis methods and latest software updates?an excellent reference, on the I would have enjoyed having as a student...and one that I will certainly use now." (Technometrics, Vol. 45, No. 2, May 2003)

About the Author

Ramon C. Littell, Ph.D. is Professor of Statistics at the University of Florida, where he teaches applied statistics and serves as a consulting statistician at the Institute of Food and Agricultural Sciences. Dr. Littell is coauthor of the three previous editions of this book with Dr. Freund and is also widely published in statistical and applied journals. He is also coauthor of SAS System for Regression, Third Edition; SAS System for Mixed Models; and SAS System for Elementary Statistical Analysis, Second Edition. A SAS user since 1972, Dr. Littell has served as SUGI chairman and is a Fellow of the American Statistical Association.

Walter W. Stroup, Ph.D. is currently head of the Department of Biometry at the University of Nebraska, where he also holds a teaching, research, and consulting appointment at the Institute of Agriculture and Natural Resources. Dr. Stroup received a B.A. degree in psychology from Antioch College, and M.S. and Ph.D. degrees in statistics from the University of Kentucky. He is widely published in statistical and applied journals and has participated in a number of symposia on issues in statistical consulting and statistical modeling. A SAS user since 1975, Dr. Stroup is coauthor of SAS System for Mixed Models.

Rudolf J. Freund, Ph.D. former associate director and cofounder of the Department of Statistics at Texas A&M University, is now professor emeritus. Dr. Freund received an M.A. degree in economics from the University of Chicago in 1951 and a Ph.D. in statistics from North Carolina State College (now North Carolina State University) in 1955. He has coauthored several books including SAS System for Regression, Third Edition; Regression Methods; and Statistical Methods and Regression Analysis. Dr. Freund has been a SAS user since 1972, and is a former SUGI chairman. --This text refers to an out of print or unavailable edition of this title.

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Product Details

  • Paperback: 496 pages
  • Publisher: WA (Wiley-SAS); 4 edition (May 24, 2002)
  • Language: English
  • ISBN-10: 0471221740
  • ISBN-13: 978-0471221746
  • Product Dimensions: 8.4 x 1 x 11.1 inches
  • Shipping Weight: 2.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #922,077 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

29 of 29 people found the following review helpful By Michael R. Chernick on January 23, 2008
Format: Paperback
This is the fourth edition of this primer on linear models by Littell and Freund. As with the previous editions it gives a thorough treatment of the models and their application through the use of SAS procedures. In the fourth edition, Walter Stroup has been added and Phil Spector dropped as coauthor. Also this edition drops the word "System" in the title after "SAS". The main addition to this edition is the inclusion of a lot of detailed information on the application of mixed effects models through use of the MIXED procedure. There is a great deal of comparison of the differences between PROC MIXED and PROC GLM in the analysis of these models. Many interesting examples are presented and care is taken to show the user how to specify the models so as to get the appropriate analysis. They also teach you enough to aid in interpreting the output.
Littell, Milliken, Stoup and Wofinger have also written a very nice book titled "The SAS System for Mixed Models" and my only question would be to ask "which book offers more?" This fourth edition seems to now cover many of the same topics that highlight that book.

Readers should be aware of the two books and should investigate for themselves the differences and overlap before deciding to purchase either one. One clear difference is the date of publication. This book, published in 2002, is more current and has several references from 1997 and after whereas the mixed models book was published in 1996.
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1 of 1 people found the following review helpful By Gloria Caughey on January 13, 2014
Format: Paperback Verified Purchase
is what he needed for the class he is taking at ASU as a PHD student in BIO Medical Informatics
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1 of 1 people found the following review helpful By Yan Wang on April 23, 2013
Format: Paperback Verified Purchase
i like it very much, this is a very good one that i chose . and I will let my friends know
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It is quite analytical and gives you the opportunity to understand by example topics not easily investigated.
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