Let X1,..., Xn denote a random sample from a normal distribution with mean zero and variance 0 > 0. Show that ", X? is an unbiased estimator of 0 and has variance 26 /n.
Let X1,..., Xn denote a random sample from a normal distribution with mean zero and variance 0 > 0. Show that ", X? is an unbiased estimator of 0 and has variance 26 /n.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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How to show the unbiased estimator of theta has variance
2theta^2/n.
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
Transcribed Image Text:**Unbiased Estimator Problem**
Let \( X_1, \ldots, X_n \) denote a random sample from a normal distribution with mean zero and variance \( \theta > 0 \). Show that \( \frac{1}{n} \sum_{i=1}^{n} X_i^2 \) is an unbiased estimator of \( \theta \) and has variance \( 2\theta^2 / n \).
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