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Find the minimum sufficient statistic in the following situations. In order to establish minimality, when this is not obvious, consider the ratio L(0; y)/L(0; z) for two data sets y and z. What is the minimal requirement on y and z to have in common, for this ratio to be free of parameters? 1) A sample from a uniform distribution on the interval (e – 1/2, 0 + 1/2) 2) A simple linear regression model, under normality, with x-values fixed.

Find the minimum sufficient statistic in the following situations. In order to establish minimality, when this is not obvious, consider the ratio L(0; y)/L(0; z) for two data sets y and z. What is the minimal requirement on y and z to have in common, for this ratio to be free of parameters? 1) A sample from a uniform distribution on the interval (e – 1/2, 0 + 1/2) 2) A simple linear regression model, under normality, with x-values fixed.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Find the minimum sufficient statistic in the following situations. In order to establish minimality, when this is not obvious, consider the ratio L(0; y)/L(e; z) for two data sets y and z. What is the minimal requirement on y and z to have in common, for this ratio to be free of parameters? 1) A sample from a uniform distribution on the interval (0 – 1/2, 0 + 1/2) 2) A simple linear regression model, under normality, with x-values fixed.
Transcribed Image Text:Find the minimum sufficient statistic in the following situations. In order to establish minimality, when this is not obvious, consider the ratio L(0; y)/L(e; z) for two data sets y and z. What is the minimal requirement on y and z to have in common, for this ratio to be free of parameters? 1) A sample from a uniform distribution on the interval (0 – 1/2, 0 + 1/2) 2) A simple linear regression model, under normality, with x-values fixed.
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