Statistical Data Analysis Using SAS
Intermediate Statistical Methods
2nd Edition
Published on 12. April 2018
XIV, 679 pages
978-3-319-69239-5 (ISBN)
Description
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.
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.
More details
Series
Edition
Second Edition 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XIV, 679 p. 409 illus., 390 illus. in color.
File size
20,11 MB
ISBN-13
978-3-319-69239-5 (9783319692395)
DOI
10.1007/978-3-319-69239-5
Schweitzer Classification
Other editions
Additional editions
Mervyn G. Marasinghe | Kenneth J. Koehler
Statistical Data Analysis Using SAS
Intermediate Statistical Methods
Book
04/2018
2nd Edition
Springer
€160.49
Shipment within 10-15 days
Persons
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. 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.
Content
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.
