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Bumped by Community user
edited text for the improved presentation of the problem. Also most appropriate tags are added.
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Have $ x_{1}$ ... $ x_{10}$ r.v$ X_{1},X_{2},\cdots,X_{10}$ random sample from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \infty $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $$ \hat{\theta}_{MLE} = Y = min(X_{i},\;i=1,2,\cdots,10) $

How do I go about finding the PDF of Y?

Have $ x_{1}$ ... $ x_{10}$ r.v from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \infty $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $

How do I go about finding the PDF of Y?

Have $ X_{1},X_{2},\cdots,X_{10}$ random sample from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \infty $$

Know that $ \hat{\theta}_{MLE} = Y = min(X_{i},\;i=1,2,\cdots,10) $

How do I go about finding the PDF of Y?

Corrected OBVIOUS typo
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Have $ x_{1}$ ... $ x_{10}$ r.v from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \theta $$$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \infty $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $

How do I go about finding the PDF of Y?

Have $ x_{1}$ ... $ x_{10}$ r.v from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \theta $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $

How do I go about finding the PDF of Y?

Have $ x_{1}$ ... $ x_{10}$ r.v from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \infty $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $

How do I go about finding the PDF of Y?

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Finding the PDF of Y, where Y = min X

Have $ x_{1}$ ... $ x_{10}$ r.v from a distribution with PDF:

$$ f(x;\theta) = e^{ - (x- \theta) },\, \theta \leq x \lt \theta $$

Know that $ \theta_{MLE} = Y = min(X_{i}) $

How do I go about finding the PDF of Y?