Probability Theory and Mathematical Statistics

Author: Gan Jiansheng
Publisher:
Publish Date: 2005-01-01
Features: This book is divided into 10 chapters: Random Events and Their Probabilities, Random Variables and Their Distributions, Digital Characteristics of Random Variables, Common Distributions and Their Applications, Law of Large Numbers and Central Limit Theorem, Sample Distributions, Parameter Estimation, Hypothesis Testing, Analysis of Variance, and Regression Analysis. Each chapter presents concise and comprehensive content, with key concepts introduced through numerous simple and easy-to-understand examples, facilitating the understanding and application of the learned knowledge in practice. At the end of each chapter, a summary of the chapter's content, common terms, and frequently used formulas are provided, which helps students grasp the key points of the chapter as a whole. Each section is accompanied by thought-provoking questions and exercises related to the section's content, and the book includes reference answers to all exercises at the end. This book is suitable as a textbook or teaching reference for mathematics courses in higher vocational schools, higher colleges, secondary vocational colleges organized by adult colleges, undergraduate universities, and private colleges.