Table of Contents:
  • Probability
  • Random variables and their probability distributions
  • Moments and generating functions
  • Multiple random variables
  • Some special distributions
  • Limit theorems
  • Sample moments and their distributions
  • Parametric point estimation
  • Neyman-Pearson theory of testing of hypotheses
  • Some further results of hypothesis testing
  • Confidence estimation
  • General linear hypothesis
  • Nonparametric statistical inference.