Chapter 3
Preliminary and Background Information
Contents
3.1 What Every Programmer Should Know before Simulating Data
3.2 Essential Functions for Working with Statistical Distributions
3.2.1 The Probability Density Function (PDF)
3.2.2 The Cumulative Distribution Function (CDF)
3.2.3 The Inverse CDF (QUANTILE Function)
3.2.4 The Older SAS Random Number Functions
3.3 Random Number Streams in SAS
3.3.1 Setting a Seed Value for Random Number Generation
3.3.2 Setting a Seed Value from the System Time
3.4 Checking the Correctness of Simulated Data
3.4.1 Sample Moments and Goodness-of-Fit Tests
3.4.2 Overlay a Theoretical PMF on a Frequency Plot
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