This question is from one of the introductory books in Mathematical Statistics.
Let $X_1,...,X_n$ be a random sample from a pdf $f(x;\theta)=\frac{1}{2\theta+1},0<x<2\theta+1,$ zero elsewhere.
(a) Find the MLE $\hat{\theta}$ of $\theta$
(b) Find a complete and sufficient statistics for $\theta$.
(c) Find the UMVUE of $\theta$
I think I can solve (a) and a half (b)
For (a):
Let $Y_1<Y_2<...Y_n$ be the order statistics.
$L(\theta)=\frac{1}{(2\theta+1)^{n}} I(0 \leq Y_{1}) I(Y_{n} \leq 2\theta+1)$
$\therefore$ MLE $\hat{\theta}=\frac{1}{2}(Y_{n}-1)$
For (b):
$f(x_1;\theta)f(x_2;\theta)...f(x_n;\theta)=\frac{1}{(2\theta+1)^{n}} I(0 \leq Y_{1}) I(Y_{n} \leq 2\theta+1)$
$\therefore$ By factorization theorem of Neyman, $Y_n=\max(x_i)$ is a sufficient statistic for $\theta$. Therefore, $\frac{1}{2}(Y_{n}-1)$ is also a sufficient statisitc
I was wondering if someone would help me out in showing it is complete and find UMVUE of $\theta$.
If you can find a function of $Y_n$ that is an unbiased estimator of $\theta$, then the Lehmann-Scheffe Theorem tells you that it will be the UMVUE.
So, first find $EY_n$ and then see if you can find a function of it that is unbiased.
The density function for $Y_n$ is $n[F(x)]^{n-1}f(x)$ for $x \in [0,2\theta+1]$.
Thus, $$EY_n=\int_0^{2\theta+1} xn \left[\frac{x}{2 \theta+1} \right]^{n-1}\frac{1}{2 \theta+1}dx=\frac{n}{(2 \theta+1)^n}\frac{(2 \theta+1)^{n+1}}{n+1}$$ Finally, $E\left[\frac{\frac{n+1}{n}Y_n-1}{2} \right]=\frac{\frac{n+1}{n}EY_n-1}{2}=\theta$.
So, $\frac{\frac{n+1}{n}Y_n-1}{2} $ is the UMVUE.