* (i) Let X,, .... X, be a random sample from the distribution with the PDF S(x: 0) = 2.r for 0

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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' (i) Let X,, .... X, be a random sample from
the distribution with the PDF
S(x: 0) =
2.r
for 0<x<0.
%3D
Determine the MLE M of 0 and show that (M, M/(1- Y)) is a 100y% CI for 0, where
0 <y<1.
(ii) Let X,, .... X, be an independent random sample from the uniform distribution on
[0, 0,] and let Y,, .... Y, be an independent random sample from the uniform distribution
on [0, 0,]. Derive the form of the likelihood ratio test of the hypothesis H,: 0, = 0, against
H: 0,#0, and express this test in terms of the statistic
%3D
mаx (Mx. Мy)
T =
min (Mx, My)
where Mx =max,<i<n X, and My=max1<ign Y.
By observing that under the hypothesis H, the distribution of T is independent of
0 = 0, = 0,, or otherwise, determine exactly the critical region for the test of size a.
%3D
%3D
Transcribed Image Text:' (i) Let X,, .... X, be a random sample from the distribution with the PDF S(x: 0) = 2.r for 0<x<0. %3D Determine the MLE M of 0 and show that (M, M/(1- Y)) is a 100y% CI for 0, where 0 <y<1. (ii) Let X,, .... X, be an independent random sample from the uniform distribution on [0, 0,] and let Y,, .... Y, be an independent random sample from the uniform distribution on [0, 0,]. Derive the form of the likelihood ratio test of the hypothesis H,: 0, = 0, against H: 0,#0, and express this test in terms of the statistic %3D mаx (Mx. Мy) T = min (Mx, My) where Mx =max,<i<n X, and My=max1<ign Y. By observing that under the hypothesis H, the distribution of T is independent of 0 = 0, = 0,, or otherwise, determine exactly the critical region for the test of size a. %3D %3D
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