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$X \sim $ Geometric$(p)$, $Y \sim$ NegativeBinomial$(2,p)$: find the MVUE for $p(1-p)$

Let $X$ and $Y$ be independent random variables with pdf \begin{align} f(x)&=p(1-p)^x,x=0,1,2,\ldots \\ f(y)&=(1+y)p^2(1-p)^y, y=0,1,2,\ldots \end{align} Find the MVUE for $$ p(1-p). $$ I ...
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Need help finding UMVUE for a Poisson Distribution

My fellow classmates and I are stuck on a homework problem that is a three part problem to find the UMVUE of a Poisson distribution. The problem goes like this: Let X ~ Pois$(\lambda$), and we want ...
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Let X1,X2,…,Xn be i.i.d. N(θ1, θ2), please prove that E[(x1-θ1)^4] = 3θ2^2

If x$_{1}$, x$_{2}$,...,x$_{n}$ is sampled from N($\theta$$_{1}$, $\theta$$_{2}$), how can I prove that E [(x$_{1}$ - $\theta$$_{1}$)$^{4}$] = 3$\theta$$_{2}$$^{2}$? I started off this question ...
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1answer
65 views

Finding UMVUE of parameter $\displaystyle a^{-\theta}$, $(0<a<1)$

Suppose $X_1,X_2,\ldots,X_n$ is a random sample of $\operatorname{Beta}(\theta,1)$. How can I find UMVUE of parameter $\displaystyle a^{\theta}$, $(0<a<1)$?
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79 views

Function of an efficient estimator

Let T be an efficient estimator for a parameter $\theta$. Let $g(\cdot)$ be a (real valued) non-linear function. Is $g(T)$ an UMVUE for $g(\theta)$?
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2answers
165 views

Sufficiency in Lehmann Scheffe

We are wondering what sufficiency in the Lehmann Scheffe Theorem is needed for. Our reasoning was: If an unbiased estimator is uncorrelated with all unbiased estimators of 0, it is UMVUE If the ...
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1answer
233 views

Obtain the minimum variance unbiased estimators

Let $X_1, X_2,\cdots,X_n$ be a random sample from the distribution with the p.d.f $$f(x)=\frac{1}{\beta -\alpha},\alpha<x<\beta $$ where $0<\alpha<\beta<\infty$. Obtain the minimum ...
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356 views

Uniform minimum variance unbiased estimator

Let $X_1, X_2, ..., X_n$ be an iid random sample from a Poisson$(\lambda)$ distribution: a) find the UMVUE of $\theta$ = $\lambda^k$ for $k > 0$ a known integer b) find the UMVUE of $\tau = ...
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1answer
283 views

Finding a minimum variance unbiased (linear) estimator

Here is a basic question that perhaps has a simple answer, but one that I was not able to find by quickly scanning the literature. Suppose that I have a collection of $n$ unopened boxes. Each box ...
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How do I know which method of parameter estimation to choose?

There are quite a few methods for parameter estimation out there. MLE, UMVUE, MoM, decision-theoretic, and others all seem like they have a fairly logical case for why they are useful for parameter ...