Chapter 7: Problem 4
Consider the family of probability density functions \(\\{h(z ; \theta): \theta
\in \Omega\\}\), where \(h(z ; \theta)=1 / \theta, 0
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 7: Problem 4
Consider the family of probability density functions \(\\{h(z ; \theta): \theta
\in \Omega\\}\), where \(h(z ; \theta)=1 / \theta, 0
All the tools & learning materials you need for study success - in one app.
Get started for free
Let \(X_{1}, \ldots, X_{n}\) be a random sample from a distribution of the continuous type with cdf \(F(x)\). Let \(\theta=P\left(X_{1} \leq a\right)=F(a)\), where \(a\) is known. Show that the proportion \(n^{-1} \\#\left\\{X_{i} \leq a\right\\}\) is the MVUE of \(\theta\).
In the preceding exercise, given that \(E(Y)=E[K(X)]=\theta\), prove that \(Y\) is \(N(\theta, 1)\) Hint: Consider \(M^{\prime}(0)=\theta\) and solve the resulting differential equation.
We consider a random sample \(X_{1}, X_{2}, \ldots, X_{n}\) from a distribution
with pdf \(f(x ; \theta)=(1 / \theta) \exp (-x / \theta), 0
Let \(X\) be a random variable with the pdf of a regular case of the exponential
class, given by \(f(x ; \theta)=\exp [\theta K(x)+H(x)+q(\theta)], a
Let \(X_{1}, X_{2}, \ldots, X_{n}\) represent a random sample from the discrete distribution having the pmf $$ f(x ; \theta)=\left\\{\begin{array}{ll} \theta^{x}(1-\theta)^{1-x} & x=0,1,0<\theta<1 \\ 0 & \text { elsewhere } \end{array}\right. $$ Show that \(Y_{1}=\sum_{1}^{n} X_{i}\) is a complete sufficient statistic for \(\theta .\) Find the unique function of \(Y_{1}\) that is the MVUE of \(\theta\). Hint: \(\quad\) Display \(E\left[u\left(Y_{1}\right)\right]=0\), show that the constant term \(u(0)\) is equal to zero, divide both members of the equation by \(\theta \neq 0\), and repeat the argument.
What do you think about this solution?
We value your feedback to improve our textbook solutions.