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1. Review on likelihood. Assume that Y₁ Y2 and each Y; is identically distributed and both Yi U(0,0) have the uniform distributed on interval [0,0], when 0 > 0. ~ a) Suppose that the observations yı = 1.348 and Y2 = 0.812 were obtained. De- termine the likelihood function corresponding to the data. b) What is the maximum likelihood estimate of the parameter 0? (Note. in order to obtain a nice solution, you should assume that the density function of uniform distribution has non-zero values on closed interval [0,0]).

1. Review on likelihood. Assume that Y₁ Y2 and each Y; is identically distributed and both Yi U(0,0) have the uniform distributed on interval [0,0], when 0 > 0. ~ a) Suppose that the observations yı = 1.348 and Y2 = 0.812 were obtained. De- termine the likelihood function corresponding to the data. b) What is the maximum likelihood estimate of the parameter 0? (Note. in order to obtain a nice solution, you should assume that the density function of uniform distribution has non-zero values on closed interval [0,0]).

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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1. Review on likelihood. Assume that Y₁ Y2 and each Y; is identically distributed and both Yi U(0,0) have the uniform distributed on interval [0,0], when 0 > 0. ~ a) Suppose that the observations yı = 1.348 and Y2 = 0.812 were obtained. De- termine the likelihood function corresponding to the data. b) What is the maximum likelihood estimate of the parameter 0? (Note. in order to obtain a nice solution, you should assume that the density function of uniform distribution has non-zero values on closed interval [0,0]).
Transcribed Image Text:1. Review on likelihood. Assume that Y₁ Y2 and each Y; is identically distributed and both Yi U(0,0) have the uniform distributed on interval [0,0], when 0 > 0. ~ a) Suppose that the observations yı = 1.348 and Y2 = 0.812 were obtained. De- termine the likelihood function corresponding to the data. b) What is the maximum likelihood estimate of the parameter 0? (Note. in order to obtain a nice solution, you should assume that the density function of uniform distribution has non-zero values on closed interval [0,0]).
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