Distribution of a function of a random variable
Description:
- Let X be a Continuous random variable having PDF fXβ.
- 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:
- fYβ=β©β¨β§βfXβ[gβ1(y)]0ββdydβgβ1(y)ββifΒ y=g(x)Β forΒ someΒ xifΒ yξ =g(x)Β forΒ allΒ xβ
- meaning fYβ=fXβ[gβ1(y)]Γdydβgβ1y
- Example:
- Y=X3βP(Y<y)=P(X3<y)=P(X<3yβ)=FXβ(3yβ)
- Differentiate that, we have PDF of fXβ in terms of y
- where gβ1(y) is defined to be equal to that value of x such that g(x)=y