Topics: Random Variable - Probability


Integrating and Deriving

(theorem)

Let be an absolutely continuous random variable with density function . Let be a function.

Let be another random variable with distribution function .

We can obtain , ’s distribution function, by integrating over the region on which . We can then obtain , ’s density function, by deriving this distribution function.

Variable Change Theorem

(theorem)

Let be an absolutely continuous random variable with values in the interval , and density function .

Let be a strictly increasing or decreasing continuous function with a differentiable inverse.

Then, the random variable takes values in the interval and its density function is: