I am trying to evaluate the expectation of a Weibull distribution whose form is
$$f_X(x;\alpha)=\alpha x^{\alpha-1}e^{-x^\alpha} $$
So, I am trying to evaluate the intergral
$$E[X] = \int_0^{\infty} \alpha x^{\alpha} e^{-x^{\alpha}}dx$$
but I am having trouble.
u-substitution causes $x^{\alpha-1}$ to be in the way, and integration by parts makes $e^{-x^\alpha}dx$ a tough expression to deal with.
I have also considered expressing the expectation as
$$\frac{1}{\alpha +1}\int_0^{\infty} (\alpha +1)x^\alpha e^{-x^{\alpha +1}}*e^{-x^{-1}}dx $$
to utilize
$$\int_0^{\infty} (\alpha +1)x^\alpha e^{-x^{\alpha +1}}dx =1 $$
but am not able to manage things well with the extra $e^{-x^{-1}}$.
I do not have the strongest real analysis skill since I have never reached that level, but if this takes some knowledge above highschool level calculus, I would at least like to know.
Thank you.
The answer is well-known; see https://en.wikipedia.org/wiki/Weibull_distribution
If you just need the answer for an applied problem that will do it. I have not been able to find a derivation, however. The section on deriving the MGF and moments in that reference may be of some help.