Probability Theory and Mathematical Statistics Learning Guide: Typical Examples and Solutions

Author: Ge Yubo
Publisher:
Publish Date: 2003-08-01
Features: This book is written as a supplementary guide to help undergraduate university students learn Probability Theory and Mathematical Statistics. The book is divided into seven chapters, each with a content summary. Each section within the chapters includes detailed explanations and typical examples. Each chapter also includes exercises and reference answers. The main content covers basic concepts of probability theory, random variables (including vectors) and their distributions, the numerical characteristics of random variables, limit theorems, basic concepts of mathematical statistics, parameter estimation, and hypothesis testing. At the end of the book, there is an appendix with tables of various distributions.