5. Let X₁, X2,..., Xn be a random sample from a population with the probability density function x² exp 20 2 f(x) = πθ You may assume that E(X²) = 0 and Var(X²) = 20. ΣX² i=1 = 0
5. Let X₁, X2,..., Xn be a random sample from a population with the probability density function x² exp 20 2 f(x) = πθ You may assume that E(X²) = 0 and Var(X²) = 20. ΣX² i=1 = 0
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![5. Let X₁, X2, ..., Xn be a random sample from a population with the probability density function
x²
20
2
no-Vine's
-exp
f(x)
пө
You may assume that E(X²) = 0 and Var (X²) = 20.
n
X?
0<u<2
otherwise
(a) Show that the estimator =
is an unbiased estimator for 0.
n
(b) Show that the Cramer-Rao Lower Bound is attained for this estimator.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F74fffd89-b2c2-4edc-b550-273c4023ad31%2F25c66884-c183-483c-9b59-467d71fd6712%2Fjhcfb3i_processed.png&w=3840&q=75)
Transcribed Image Text:5. Let X₁, X2, ..., Xn be a random sample from a population with the probability density function
x²
20
2
no-Vine's
-exp
f(x)
пө
You may assume that E(X²) = 0 and Var (X²) = 20.
n
X?
0<u<2
otherwise
(a) Show that the estimator =
is an unbiased estimator for 0.
n
(b) Show that the Cramer-Rao Lower Bound is attained for this estimator.
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