Lecture 11: Derived Distributions (M-I-T)

• L11.1 Lecture Overview (M-I-T)
• L11.3 A Linear Function of a Continuous Random Variable (M-I-T)
• L11.4 A Linear Function of a Normal Random Variable (M-I-T)
• L11.5 The PDF of a General Function (M-I-T)
• L11.6 The Monotonic Case (M-I-T)
• L11.7 The Intuition for the Monotonic Case (M-I-T)
• L11.8 A Nonmonotonic Example (M-I-T)
• L11.9 The PDF of a Function of Multiple Random Variables (M-I-T)
• S11.1 Simulation (M-I-T)