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SAS for Mixed Models ペーパーバック – 2006/3/30

英語版 Ramon C. Littell (著), George A. Milliken (著), Walter W. Stroup (著),

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The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely revised and updated for SAS®9. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models split-plot, multilocation, and repeated measures models hierarchical models with nested random effects analysis of covariance models spatial correlation models generalized linear mixed models nonlinear mixed models Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. Includes a free CD-ROM with example SAS code!

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本の長さ

814ページ
言語

英語
出版社

Sas Inst
発売日

2006/3/30
寸法

22.23 x 3.18 x 28.58 cm
ISBN-10

1590475003
ISBN-13

978-1590475003
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商品の説明

著者について

Ramon C. Littell Ramon C. Littell, Ph.D., Professor of Statistics at the University of Florida, is the coauthor of several books, including SAS System for Regression, Third Edition, and SAS for Linear Models, Fourth Edition. He has worked with SAS software since 1986. George A. Milliken George A. Milliken, Ph.D., Professor of Statistics at Kansas State University, has been using SAS software since 1974 and has extensive experience with the design and analysis of experiments using mixed models by incorporating the GLM, MIXED, GLIMMIX, and NLMIXED procedures. Walter W. Stroup Walter W. Stroup, Ph.D., Professor and Chair of the Department of Statistics at the University of Nebraska, is the coauthor of SAS for Linear Models, Fourth Edition. He has been using SAS software since 1981. Russell D. Wolfinger Russell D. Wolfinger, Ph.D., is the Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989. Before leading SAS scientific efforts, he authored the MIXED, MULTTEST, KDE, and NLMIXED procedures in SAS/STAT. Oliver Schabenberger Oliver Schabenberger, Ph.D., is a Senior Research Statistician at SAS Institute and has been using SAS software since 1991. He maintains and develops mixed model software and is the author of the GLIMMIX procedure.

登録情報

出版社 ‏ : ‎ Sas Inst; 第2版 (2006/3/30)
発売日 ‏ : ‎ 2006/3/30
言語 ‏ : ‎ 英語
ペーパーバック ‏ : ‎ 814ページ
ISBN-10 ‏ : ‎ 1590475003
ISBN-13 ‏ : ‎ 978-1590475003
寸法 ‏ : ‎ 22.23 x 3.18 x 28.58 cm

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Paul

Good for learning SAS and mixed models

2014年5月19日にカナダでレビュー済み

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I have a variety of stats books on mixed models, which I pass along to my staff. This book stands out because of its excellent examples and plain-language descriptions of the methods and models.

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Best_deals

A very informative book!

2008年12月27日にアメリカ合衆国でレビュー済み

Amazonで購入

I actually did the price hunting and bought this book for my wifee. She said that she was pleased with it and often uses it as a 'consulting' book for her job. Sorry I can't help much more here since I don't work with it and she is not the 'reviewing' kind. But the price I paid for it at Amazon was great with free shipping.

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Bear Wandering

Classic book

2013年2月16日にアメリカ合衆国でレビュー済み

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It is a classic book in mixed models. It will get anybody who is new to mixed models to start to use this family of models.

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Randall S. Collica

Excellent for use and reference.

2009年6月17日にアメリカ合衆国でレビュー済み

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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.

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KY customer

Don't buy Kindle version

2018年8月1日にアメリカ合衆国でレビュー済み

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Excellent book - essential if you're serious about mixed model analysis in SAS. Unfortunately, the Kindle version is worthless - given that this is a statistics book, you would think the editors would pay particular attention that equations and notation are accurately rendered... not so in this case. One example - the authors use Greek and Latin symbols to differentiate notation between fixed and random effects - all show up in Latin characters here. In other situations, the rendered versions of the equations are completely illegible, even when zoomed - BUY THE PRINT VERSION (or get the scanned e-version on Google Books). Pic 1 shows an excerpt as rendered in Kindle (with a simultaneously amusing and frustrating example highlighted). Pic 2 shows the same excerpt from the Google e-book version.

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SAS for Mixed Models ペーパーバック – 2006/3/30

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