Book description
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.
This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners.
As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software.
This book is part of the SAS Press program.
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Contents
- About the Author
- Acknowledgments
- I: Essentials of Simulating Data
- II: Basic Simulation Techniques
- III: Advanced Simulation Techniques
-
IV: Applications of Simulation in Statistical Modeling
- Chapter 11. Simulating Data for Basic Regression Models
- Chapter 12. Simulating Data for Advanced Regression Models
- Chapter 13. Simulating Data from Times Series Models
- Chapter 14. Simulating Data from Spatial Models
- Chapter 15. Resampling and Bootstrap Methods
- Chapter 16. Moment Matching and the Moment-Ratio Diagram
- V: Appendix
- Index
- Accelerate Your SAS Knowledge with SAS Books
Product information
- Title: Simulating Data with SAS
- Author(s):
- Release date: April 2013
- Publisher(s): SAS Institute
- ISBN: 9781629592534
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