b) Let X₁, X₂, X, denote a random sample of size n from a distribution with probability density function: f(x; 0) = {0(1-x)-(1+0), Find the maximum likelihood estimator of 8. Derive fisher's information of 0. suppose that 5 independent observations were taken from such a distribution: i) ii) iii) 41354 and 0 = 0.7052 Find a 99% confidence interval for 0. x>0 elsewhere

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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b) Let X₁, X₂,..., X, denote a random sample of size n from a distribution with
probability density function:
i)
ii)
iii)
f(x; 0) = {0(1-x)(¹+0),
Find the maximum likelihood estimator of 0.
Derive fisher's information of 0.
suppose that 5 independent observations were taken from such a
distribution:
4 1 3 5 4
and
0 = 0.7052
Find a 99% confidence interval for 0.
x>0
elsewhere
D
Transcribed Image Text:b) Let X₁, X₂,..., X, denote a random sample of size n from a distribution with probability density function: i) ii) iii) f(x; 0) = {0(1-x)(¹+0), Find the maximum likelihood estimator of 0. Derive fisher's information of 0. suppose that 5 independent observations were taken from such a distribution: 4 1 3 5 4 and 0 = 0.7052 Find a 99% confidence interval for 0. x>0 elsewhere D
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