ABSTRACT

Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It i

chapter Chapter 1|18 pages

Introduction

chapter Chapter 2|26 pages

Point Estimation

chapter Chapter 3|16 pages

Confidence Intervals, Bounds, and Regions

chapter Chapter 4|34 pages

Hypothesis Testing

chapter Chapter 5|30 pages

Asymptotic Analysis

chapter Chapter 6|18 pages

Bayesian Inference

chapter Chapter 7|14 pages

*Elements of Statistical Decision Theory

chapter Chapter 8|24 pages

*Linear Models