Overview

This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research.

It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics.

Content Highlights

The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference.

They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume.

Target Audience

Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.