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Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Paperback) (ISBN-13: 9783319692388)
Vendor:
Mervyn G. Marasinghe
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Books
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Description
xThe 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 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.
Author: Mervyn G. Marasinghe, Kenneth J. Koehler
ISBN-10: 3319692380
ISBN-13: 9783319692388
Publisher: Springer
Language: English
Published: 04/23/2018
Pages: 679
Format: Paperback
Weight: 2.62lbs
Size: 10.00h x 7.00w x 1.39d
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 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.
Author: Mervyn G. Marasinghe, Kenneth J. Koehler
ISBN-10: 3319692380
ISBN-13: 9783319692388
Publisher: Springer
Language: English
Published: 04/23/2018
Pages: 679
Format: Paperback
Weight: 2.62lbs
Size: 10.00h x 7.00w x 1.39d
By Mervyn G. Marasinghe
xMervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. He has taught a data analysis course based on SAS for over 35 years and offered workshops and short-courses on various aspects of SAS including traditional SAS programming, SAS Enterprise Guide, SAS Enterprise Miner, and JMP for many years to both university audiences and non-academic participants.
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.
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.
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