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  3. we have random samples x1x2xn from the distribution with density...

Question: we have random samples x1x2xn from the distribution with density...

Question details

we have random samples x1,x2,...,xn from the distribution with density function:

0, om y K1,

where θ is unknown.
a) show that maximum likelihood estimate of θ is not unbiased.
b) subtract a function which only can depend on n from the ML-estamination so a new a estamination which is unbiased is created.
c) decide the variance for the new estimation.

please explain thoroughly.
Thank you in advance! :)

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