How To Use Fisher Information For One And Several Parameters Models
For the special case where we have a standard geometric individual offspring count probability distribution, setting a = 0 in Eqs. Near the maximum likelihood estimate, low Fisher information therefore indicates that the maximum appears “blunt”, that is, the maximum is shallow and there are many nearby values with a similar log-likelihood. 23 In the […]