This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuit

This book examines the consequences of misspecifications for the interpretation of likelihood-based methods of statistical estimation and interference. The anal

This is a short introduction to Maximum Likelihood (ML) Estimation. It provides a general modeling framework that utilizes the tools of ML methods to outline a

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likeli