let X1,..., Xn be i.i.d. random variables with distribution N(µ, o²), with both u and o? unknown. (a). Show that the MLES of µ and o² are E(X; – X)² - ÎMLE = X = L=1 X; MLE n 1.:
let X1,..., Xn be i.i.d. random variables with distribution N(µ, o²), with both u and o? unknown. (a). Show that the MLES of µ and o² are E(X; – X)² - ÎMLE = X = L=1 X; MLE n 1.:
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![1. let X1,..., Xn be i.i.d. random variables with distribution N(u, o?), with both u
and o? unknown.
(a). Show that the MLES of u and o? are
E(X; – X)?
i=1
ÎMLE = X
MLE
n
(b). Show that îûMLE is an unbiased estimator of mean, and derive its sampling
distribution.
(c). Show that ÔRLE is a biased estimator of variance.
(d). If S2:
E (X;-X)²
show
u^/s
is tn-1 distribution.
п-1
Hint: (n – 1)S = (n – 2)S-, + ("1) (X, – Xp-1)²
п—1
In is independent of S](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9b339f6d-138f-4946-b979-d08338d69a35%2Fb348934b-0c42-435f-abc1-8bff0e999355%2Fimpxmhg_processed.png&w=3840&q=75)
Transcribed Image Text:1. let X1,..., Xn be i.i.d. random variables with distribution N(u, o?), with both u
and o? unknown.
(a). Show that the MLES of u and o? are
E(X; – X)?
i=1
ÎMLE = X
MLE
n
(b). Show that îûMLE is an unbiased estimator of mean, and derive its sampling
distribution.
(c). Show that ÔRLE is a biased estimator of variance.
(d). If S2:
E (X;-X)²
show
u^/s
is tn-1 distribution.
п-1
Hint: (n – 1)S = (n – 2)S-, + ("1) (X, – Xp-1)²
п—1
In is independent of S
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