Transcription of Simulating Data with SAS
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Simulating data with SAS Rick WicklinContents Acknowledgments v I Essentials of Simulating data 1 Chapter 1. Introduction to Simulation .. 3 Chapter 2. Simulating data from Common Univariate Distributions .. 11 Chapter 3. Preliminary and Background Information .. 29 II Basic Simulation Techniques 49 Chapter 4. Simulating data to Estimate Sampling Distributions .. 51 Chapter 5 . Using Simulation to Evaluate Statistical Techniques .. 73 Chapter 6. Strategies for Efficient and Effective Simulation .. 93 III Advanced Simulation Techniques 107 Chapter 7 . Advanced Simulation of Univariate data .. 109 Chapter 8. Simulating data from Basic Multivariate Distributions .. 129 Chapter 9. Advanced Simulation of Multivariate data .. 153 Chapter 10. Building Correlation and Covariance Matrices .. 175 IV Applications of Simulation in Statistical Modeling 195 Chapter 11.
A random variate is a particular outcome of a random variable (Devroye 1986). For example, let Xbe a Bernoulli random variable that takes on the value 1 with probability pand the value 0 with probability 1 p. If you draw five observations from the
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