L28 Conditional independency and derived distribution of function of one random variable
Channel: Lakshman Mahto
Date: 2022-02-25

In this lecture, we discuss conditional independency of any two continuous random variables with respect to a third random variable with examples followed by computation of derived distribution of function of a random variable in two different approach: 1. when derived cumulative distribution function is having an explicit form, 2. when derived cumulative distribution function is defined implicitly in term of the CDF of primitive random variable.