Pricelists.org Pricelists.org ログイン 新規登録

Statistical Data Analysis Using SAS

☆☆☆☆☆ (0 reviews)
Show price history
Statistical Data Analysis Using SAS
Lowest price (incl. delivery)
101,45 GBP
Typical price3 064,17 PLN
Lowest (90 days)89,87 PLN
Offers2
Last updated4日前
See best offer
販売者 Product price Delivery 合計 在庫状況 Updated
SP SpringerNatureLink Shop INT 72,45 GBP 29,00 GBP 101,45 GBP 在庫あり 4日前 View offer
SP Springer Nature Author 21 449,00 JPY 29,00 JPY 21 478,00 JPY 在庫あり 4日前 View offer

価格や在庫状況は変更される場合があります。 最終更新: 08.08.2026 22:33.

0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

Rating
No reviews yet — be the first!
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 SAScode and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: •    Covers SAS v9.2 and incorporates new commands •    Uses SAS ODS (output delivery system) for reproduction of tables and graphics output •    Presents new commands needed to produce ODS output •    All chapters rewritten for clarity •    New  and updated examples throughout •    All SAS outputs are new and updated, including graphics •    More exercises and problems •    Completely new chapter on analysis of nonlinear and generalized linear models •    Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Similar products