Issue with derivation of ML parameter estimation for binomial distribution
Hi, I have an issue with this step in the derivation of the ML solution to the binomial parameter estimation for p. Found here
Why is the last term and not ?
Taking a concrete example, suppose , and
Would really appreciate someone telling me where, if, I am going wrong here.
Thanks in advance, MD
Re: Issue with derivation of ML parameter estimation for binomial distribution
The reason for n - blah instead of n^2 - blah is that you have a total of n observations. If you have x of those observations corresponding to X = 1 then you have n - x corresponding to X = 0.