Home

FSRM 582 Lecture Notes

  • Chapter 1: Introduction
  • Chapter 2: Probability Models
  • Chapter 3: Discrete Probability Models
  • Chapter 4: Conditional Probability
  • Chapter 5: Bayes theorem
  • Chapter 6: Independence
  • Chapter 7: Random Variables
  • Chapter 8: Expectation
  • Chapter 9: Variance
  • Chapter 10: Discrete Random Variables
  • Chapter 11: More Rules for Expectation
  • Chapter 12: Probability Generating Functions
  • Chapter 13: Continuous Random Variables
  • Chapter 14: Transformations of Random Variables
  • Chapter 15: Joint Distributions
  • Chapter 16: Transformations of Bivariate Random Variables
  • Chapter 17: Conditional Distributions
  • Chapter 18: Conditional Expectation and Variance
  • Home