Let X1,...,X, be a random sample of distribution f(r:0) = e--9), 1> 0, 0 elsewhere, where 0 >0. (a) Find the mle of 0.

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Can you please help solve the advanced statistics and probability theory question below?

parts (b) only please

how to fi nd the Likelihood Ratio Test (LRT) in terms of mle of θ.?

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Let \( X_1, \ldots, X_n \) be a random sample of distribution

\[
f(x; \theta) = e^{-(x-\theta)}, x > \theta, 0 \text{ elsewhere},
\]

where \(\theta > 0\).

(a) Find the MLE of \(\theta\).

(b) For testing \( H_0 : \theta = \theta_0 \) vs \( H_1 : \theta > \theta_0 \), find the Likelihood Ratio Test (LRT) in terms of the MLE found in part (a).
Transcribed Image Text:Let \( X_1, \ldots, X_n \) be a random sample of distribution \[ f(x; \theta) = e^{-(x-\theta)}, x > \theta, 0 \text{ elsewhere}, \] where \(\theta > 0\). (a) Find the MLE of \(\theta\). (b) For testing \( H_0 : \theta = \theta_0 \) vs \( H_1 : \theta > \theta_0 \), find the Likelihood Ratio Test (LRT) in terms of the MLE found in part (a).
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