Modern Statistical Inference

This textbook is suitable for a graaduate-level course for students
interested in nonacademic jobs, such as for a pharmaceutical company.
The needs of these students differ from those to plan to do
statistical research, and the emphasis is on topics of applied
interest. TOC: The Role of Models in Statistical Inference * Likelihood Construction
and Methods * Large Sample Theory: The Basics * Consistency and
Asymptotic Normality of Maximum Likelihood Estimators * M-Estimation
(Asymptotic Results for Extimating Equations) * Monte Carlo Simulation
Studies * Nonparametric Methods for Obtaining Standard Errors *
Bootstrap Confidence Intervals and Hypothesis Tests * Permutation
Tests * Modern Nonparametric Statistics