Theoretical Statistics

- Probability and measure: a gentle introduction

- Exponential families

- Risk, sufficiency, completeness, and ancillarity

- Unbiased estimation

- Curved exponential families

- Conditional distributions

- Bayesian estimation

- Large sample theory

- Estimating equations and maximum likelihood

- Equivariant estimation

- Empirical bayes and shrinkage estimators

- Hypothesis testing

- Optimal tests in higher dimensions

- General linear model

- Bayesian inference: Modeling and computation

- Asymptotic optimality

- Large sample theory for likelihood ratio tests

- Nonparametric regression

- Bootstrap methods

- Sequential methods

- Appendices

- Solutions

Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics.

From the reviews:

"The book is innovative in the presentation and in mashing the traditional material with modern topics. The presentation shows a great mastery of the subject. ... recommended to someone who has a working knowledge of statistics and would like to learn more about the theory. ... As a text for a course, the book is versatile. ... The mathematical level is correct for a first year graduate course and may be appropriate at some universities for courses whose primary audience is seniors." (Stephan Morgenthaler, Mathematical Reviews, Issue 2011 m)

"This volume provides an excellent course in the mathematical theory underlying statistical ideas and methods, for advanced ... students. The amount of material covered is indicated by the fact that it evolved from a three-semester sequence of courses given by the author. Its suitability as a course text is materially aided by very extensive exercises, along with solutions to selected exercises. Anyone who works through this book will end up with a first class understanding of the mathematical ideas underlying modern statistical concepts and methods." (David J. Hand, International Statistical Review, Vol. 80 (1), 2012)

"The book extensively covers classic and modern topics of theoretical statistics in a rigorous manner. ... The book provides more than 400 exercise problems. ... There are many books on statistical theory but very few have such great breadth and scope of materials as this book. ... the book is well written and it is a great addition to the collection of books on statistical theory. ... It will serve well both as a textbook and a reference book." (Xianggui Qu, Technometrics, Vol. 53 (3), August, 2011)