Introduction to Maximum Likelihood Estimation in R – Part 2

Maximum likelihood is a very general approach developed by R. A. Fisher, when he was an undergrad. In an earlier post, Introduction to Maximum Likelihood Estimation in R, we introduced the idea of likelihood and how it is a powerful approach for parameter estimation. We learned that Maximum Likelihood estimates are one of the most… Continue reading Introduction to Maximum Likelihood Estimation in R – Part 2