Probability Theory and Mathematical Statistics

Author: Mao Shusong
Publisher:
Publish Date: 2003-07-01
Features: This book is written according to the "Teaching Syllabus for Probability Theory and Mathematical Statistics" formulated by the National Statistics Textbook Editorial Committee and is intended as a textbook for undergraduate students majoring in statistics at colleges and universities across the country. This book is written according to the "Teaching Syllabus for Probability Theory and Mathematical Statistics" formulated by the National Statistics Textbook Editorial Committee and is intended as a textbook for undergraduate students majoring in statistics at colleges and universities across the country. The entire book consists of ten chapters, divided into two parts. The first four chapters cover probability theory, focusing on the basic concepts and conclusions of probability theory, with the core content being random variables and their distributions. The last six chapters cover mathematical statistics, focusing on the basic concepts and common statistical methods of mathematical statistics, with the core content being the three components of statistical inference: sampling distributions, parameter estimation, and hypothesis testing. Each chapter of the book is followed by a large number of exercises, most of which are practice-oriented, primarily aimed at reinforcing the content of the book.