I want to understand the difference between the extended maximum likelihood and maximum likelihood method. I am looking into the example ROOT: tutorials/roofit/rf307_fullpereventerrors.C File Reference. Here This is not the extended maximum likelihood fit.
Can you please tell me the reason behind this?
extended likelihood is when you assign Poisson distribution to coefficients in the sum of pdfs. The original paper is cited above, but today I read a clear and consise explanation in the presentation of Craig Blocker, pages 14 and 15. Hope this helps.