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SAS for Mixed Models
 
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SAS for Mixed Models [Paperback]

Ramon C. Littell , George A., PH.D. Milliken , Walter W., PH.D. Stroup

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Product Details

  • Paperback: 814 pages
  • Publisher: SAS Publishing; 2 Pap/Cdr edition (March 2006)
  • Language: English
  • ISBN-10: 1590475003
  • ISBN-13: 978-1590475003
  • Product Dimensions: 27.9 x 21.7 x 3.5 cm
  • Shipping Weight: 1.6 Kg
  • Amazon Bestsellers Rank: #237,942 in Books (See Top 100 in Books)

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Amazon.com: 4.8 out of 5 stars (8 customer reviews)

1 of 1 people found the following review helpful:
4.0 out of 5 stars Excellent for use and reference., Jun 17 2009
By Randall S. Collica - Published on Amazon.com
This review is from: SAS for Mixed Models (Paperback)
This book is excellent for showing the basic theory and practical examples of mixed models and how they can be easily implemented using SAS. I think there should have been a chapter on other non-statistical issues concerning how models can be implemented, such as scoring new observations with a mixed-effects regression model, or data preparation for these models, etc. Other than that, it is an excellent book and use it when the need for mixed-models arises in workplace.

5.0 out of 5 stars good, Jan 17 2012
By OD24 - Published on Amazon.com
This review is from: SAS for Mixed Models (Paperback)
The book looks new and disc is usable. Shipped fast.It's on time. I am very satisfied about the condition of the book.

7 of 11 people found the following review helpful:
5.0 out of 5 stars A neccesary book for mixed model analysis, May 18 2007
By Felipe Crecente Campo - Published on Amazon.com
This review is from: SAS for Mixed Models (Paperback)
I am a Ph.D. student, and I work with longitudinal and hierarchical data. I bought this book recently and I have only had a look at it. I like it very much. This book presents mixed model methodology in the setting of numerous applications and many examples are included from several applications areas. It is a useful book even to people with no muck knowledge of analysis of variance an regression analysis. You do not need to read the book from cover to cover. This book is certainly applied.
 Go to Amazon.com to see all 8 reviews  4.8 out of 5 stars 

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