Probability Theory and Mathematical Statistics

Author: Wang Songgui
Publisher:
Publish Date: 2006-08-01
Features: "Probability Theory and Mathematical Statistics" can be used as a textbook for probability and statistics courses in engineering, agriculture, medicine, economics, management, and other disciplines in higher education, or as a self-study reference for practitioners. This book is a textbook on probability theory and mathematical statistics for non-mathematics majors in higher education. The book consists of nine chapters, covering topics such as random events, random variables, random vectors, digital characteristics, limit theorems, samples and statistics, parameter estimation, hypothesis testing, and linear regression analysis. Each chapter includes a selection of exercises, and answers and selected solutions to some exercises are provided at the end of the book. Four appendices are included at the end of the book. Appendix II introduces some common and important probability distributions, Appendix III collects entrance examination questions and reference answers for master's degree candidates in recent years, and Appendix IV introduces various applications of probability and statistics. The book strives to use minimal mathematical knowledge, emphasizes the explanation of probability and statistics concepts, and pays attention to the diversity of examples. This book can be used as a textbook for probability and statistics courses in engineering, agriculture, medicine, economics, management, and other disciplines in higher education, or as a self-study reference for practitioners.