Probability Theory and Mathematical Statistics

Author: Wang Fubao
Publisher:
Publish Date: 1998-11-01
Features:
Content Summary This book is divided into three parts: Probability Theory, Mathematical Statistics, Characteristic Functions, and Convergence of Random Variables.
Part I is Probability Theory, which elucidates the fundamental knowledge of probability theory and emphasizes the distribution of random variables to help readers correctly understand the probabilistic patterns of random variable values, which is the main concept in probability theory. The second part is Mathematical Statistics, which provides concise and precise discussions on the main contents of mathematical statistics. It also introduces some useful but rarely covered topics in general textbooks (such as admissible regions, skewness tests, and discrimination and control in univariate linear normal regression analysis). The third part is Characteristic Functions and Convergence of Random Variables, which is written for students and readers with higher academic requirements.
Numerous examples are included to help readers understand and apply the theories and methods of probability and statistics. Each chapter ends with a substantial number of exercises, and the answers to all exercises are provided at the end of the book. The third edition is based on extensive revisions and additions to the second edition. This book can serve as a textbook or reference for courses on Probability Theory and Mathematical Statistics, or be used as a reference for with advanced mathematics and some linear algebra knowledge. The first edition of this book was awarded the Excellent Teaching Material Award by the State Education Commission.