doggie_Walkes
Nov3-09, 02:11 PM
i have to find the maximum likelihood estimator of \theta
so if the likelihood is this,
l(\theta) = n log (\theta) + n log( \theta) + summation log(1-xi) +(\theta-1)*(summation log xi)
i know that the mle is the point which maximesis \theta
but im sure where to go?
so if the likelihood is this,
l(\theta) = n log (\theta) + n log( \theta) + summation log(1-xi) +(\theta-1)*(summation log xi)
i know that the mle is the point which maximesis \theta
but im sure where to go?