Statistical Data Analysis Using SAS : Intermediate Statistical Methods. 2nd ed. 2018

種類:

電子ブック

責任表示:

by Mervyn G. Marasinghe, Kenneth J. Koehler

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Marasinghe, Mervyn G.
• Koehler, Kenneth J.
• SpringerLink (Online service)

シリーズ名:

Springer Texts in Statistics ;

ISBN:

9783319692395 [3319692399]    

注記:

1 Introduction to the SAS Language -- 2 More on SAS Programming and Some Applications -- 3 Introduction to SAS Graphics -- 4 Statistical Analysis of Regression Models -- 5 Analysis of Variance Models -- 6 Analysis of Variance: Random and Mixed Effects Models -- 7 Beyond Regression and Analysis of Variance -- Appendices -- References.
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitab

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