Distribution of a function of a random variable
Description:
- Let X be a Continuous random variable having PDF fX.
- Suppose that g(x) is a strictly monotonic, differentiable function of x.
- The random variable Y defined by Y=g(X) has a PDF given by:
- fY=⎩⎨⎧fX[g−1(y)]0dydg−1(y)if y=g(x) for some xif y=g(x) for all x
- meaning fY=fX[g−1(y)]×dydg−1y
- Example:
- Y=X3→P(Y<y)=P(X3<y)=P(X<3y)=FX(3y)
- Differentiate that, we have PDF of fX in terms of y
- where g−1(y) is defined to be equal to that value of x such that g(x)=y