Let X be random variable with a probability density function pdfx=f(x) and cumulative density function of cdfx=F(x)
b=f(a)
Let Y be random variable with a probability density function pdfy=g(y) for every y.
Let Y=h(X) and h is monotone.
Let y=h(x)
we know that F(x)=
However, the total chance of something less than y to happen is equal to the total chance of something less than x to happen.
This is because whatever percentage of time X end up to be less than, Y endup to be less than y.
then cdfy G(y) must be equal to F(x)
\frac{d G(y)}{d(y)}=f(x) \frac {dx}{dy}
or
G(y)=\int_{-\infty }^{y}f(i(y)) {i}'(y) dy
\frac{d G(y)}{dy}=f(x) \frac {i'{(y)}dy}{dy}=f(x) i'{(y)}
This means
g(y)=f(x) \frac {dx}{dy}=f(x) i'{(y)}
Freund, J. E. (1962). Mathematical statistics. Englewood Cliffs, N.J.: Prentice-Hall. (page 133)