Monte Carlo

Monte Carlo Example 1: Adequacy of Sample Size and Heywood Cases in Factor Analysis
One of the questions that tends to arise in many contexts in statistics is "How big a sample do I need?" In standard classical testing situations, this is related frequently to the question of statistical power. If you need to reject the null hypothesis to prove a theoretical point, you certainly want to have adequate power to detect a false null hypothesis. Increasing sample size is the most straightforward way of manipulating power.
Monte Carlo Example 2: Performance of GLS and ML Estimation in the Comparison of Correlation Matrices
Monte Carlo Example 3: Bootstrapping