The joint probability density function of X1, X2, ..., Xn is given by:
f(x1, x2, ..., xn; θ) = θ^n(1-θΣxi)
We can rewrite this as:
f(x1, x2, ..., xn; θ) = g(Σxi)h(x1, x2, ..., xn)
where g(Σxi) = θ^n(1-θΣxi) and h(x1, x2, ..., xn) = 1.
Therefore, the
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