Question: we have random samples x1x2xn from the distribution with density...
we have random samples x1,x2,...,xn from the
distribution with density function:
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! :)