a) Determine X, the likelihood ratio for this hypothesis testing problem. It is known that ÔMLE -n Σ=1 log Y; | b) Suppose that a random sample of size n = 8 is conducted and the observed data yield i=1 logy₁ = -4. Perform the likelihood ratio test for this hypothesis testing problem at the approximate significance level a = 0.10.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question 6
probability density function
Let Y₁,..., Yn be a random sample from the following
fy(y | 0) = 0y⁰-¹, 0<y<1
where > 0 is a parameter. Our goal is to test the simple null hypothesis
Ho: 0= 1
against its composite alternative
HA: 01.
a) Determine X, the likelihood ratio for this hypothesis testing problem. It is known that
ÔMLE
-n
Σ1 log Y; |
i=1
b) Suppose that a random sample of size n = 8 is conducted and the observed data yield
Σlog y₁ = -4.
i=1
Perform the likelihood ratio test for this hypothesis testing problem at the approximate
significance level a = 0.10.
Transcribed Image Text:Question 6 probability density function Let Y₁,..., Yn be a random sample from the following fy(y | 0) = 0y⁰-¹, 0<y<1 where > 0 is a parameter. Our goal is to test the simple null hypothesis Ho: 0= 1 against its composite alternative HA: 01. a) Determine X, the likelihood ratio for this hypothesis testing problem. It is known that ÔMLE -n Σ1 log Y; | i=1 b) Suppose that a random sample of size n = 8 is conducted and the observed data yield Σlog y₁ = -4. i=1 Perform the likelihood ratio test for this hypothesis testing problem at the approximate significance level a = 0.10.
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