Hi all, this is my first post.

Here's the challenge:

f(x; θ) =1/θ x^((1/θ) −1)

for x ∈ [0, 1]

Is the function we're dealing with, so depending on theta, we can have either uniformly distributed (namely if theta = 1) or skewness to the right (theta < 1) or skewness to the left (theta > 1)

I've been trying to develop a statistic for theta, the most obvious one that comes to mind is the mean. From there I attempted to find a sufficient estimator of theta (or perhaps I should be trying to use the maximum likelihood estimator?)

I hit a snag in my algebra, here's what I got after simplifying their products:

((1/θ)^n) x^(∑1/θ - n)

I'm not sure whether x should be raised to the Nth power or what i'm doin...

Normally I'd break this down into ((1/θ)^n) x^(∑1/θ - n) equalling g(Θ,θ) and h(x.....xn) = 1

help out if ya'll can!