This important book in statistical theory by one of the leading experts in this area unifies the two two important approaches to statistical parameter estimation. It will be of interest to researchers and graduate students in both mathematical statistics and probability theory.
The first account in book form The author is one of the leading experts in this area
Christopher C. Heyde
Estimator Generalized linear model Likelihood Mathematica STATISTICA Variance optimization probability statistics stochastic process