1) Let X₁, X2, X3, ... Xn be a sequence of independent and identically distributed with the following probability density function f(x; 0) = {(0 + ¹ ((0+1)x-0-2 if 1 < x < 00 otherwise b) Use method of moments to find a statistic that we can use to estimate the parameter 8. c) Check if Y = is an unbiased estimator of 0 or not, where is the estimator obtained in b). d) Find the maximum likelihood estimator of the parameter 0. e) What is the fisher information in the sample of size n about the parameter 8.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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1) Let X₁, X2, X3, ... Xn be a sequence of independent and identically distributed with the
following probability density function
f(x; 0) = {(0 + ¹
S(0+1)x-0-2
if 1 < x < 00
otherwise
b) Use method of moments to find a statistic that we can use to estimate the
parameter 8.
c) Check if Y = is an unbiased estimator of 0 or not, where ☎ is the estimator
obtained in b).
d)
Find the maximum likelihood estimator of the parameter 0.
e) What is the fisher information in the sample of size n about the parameter 0.
Transcribed Image Text:1) Let X₁, X2, X3, ... Xn be a sequence of independent and identically distributed with the following probability density function f(x; 0) = {(0 + ¹ S(0+1)x-0-2 if 1 < x < 00 otherwise b) Use method of moments to find a statistic that we can use to estimate the parameter 8. c) Check if Y = is an unbiased estimator of 0 or not, where ☎ is the estimator obtained in b). d) Find the maximum likelihood estimator of the parameter 0. e) What is the fisher information in the sample of size n about the parameter 0.
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