2nd Edition
Statistical Theory A Concise Introduction
236 Pages
27 B/W Illustrations
by
Chapman & Hall
236 Pages
27 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Designed for a one-semester advanced undergraduate or graduate statistical theory course, Statistical Theory: A Concise Introduction, Second Edition clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models, nonparametric... Read more
1. Introduction
2. Point Estimation
|3. Confidence Intervals, Bounds, and Regions
4. Hypothesis testing
5. Asymptotic Analysis
6. Bayesian Inference
7. Elements of Statistical Decision Theory
8. Linear Models
9. Nonparametric Estimation
Biography
Felix Abramovich is a professor at the Department of Statistics and Operations Research at Tel Aviv University.
Ya’acov Ritov is a professor in the Department of Statistics at the University of Michigan, Ann Arbor. He is a professor emeritus of Statistics at the Hebrew University of Jerusalem.
