Let (x1, x2,,xn) be i.i.d. samples from a distribution with mean μ and variance o2. Consider the following estimator of μ: μ* = Note that x = n(n + 1) (2n + 1)/6. n Σi=1 ixi Σ11 (a) Show that μ* is an unbiased estimator of u. (b) Explain why the above estimator * is less preferable compared to using the sample average as an estimator for μ. Hint: Show that * has a larger mean squared error. (1/n) (Σ=1*i), Σ = n(n+1)/2 and Σ1 i² :1
Let (x1, x2,,xn) be i.i.d. samples from a distribution with mean μ and variance o2. Consider the following estimator of μ: μ* = Note that x = n(n + 1) (2n + 1)/6. n Σi=1 ixi Σ11 (a) Show that μ* is an unbiased estimator of u. (b) Explain why the above estimator * is less preferable compared to using the sample average as an estimator for μ. Hint: Show that * has a larger mean squared error. (1/n) (Σ=1*i), Σ = n(n+1)/2 and Σ1 i² :1
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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