Probability Theory and Mathematical Statistics

Author: Ni Li
Publisher:
Publish Date: 2006-03-01
Features: This book focuses on introducing the basic knowledge of probability theory and commonly used mathematical statistics methods. The book is divided into 6 chapters, covering the following content: Random Events and Their Probabilities, Random Variables and Their Probability Distributions, Numerical Characteristics of Random Variables, Law of Large Numbers and Central Limit Theorem, Preliminary Concepts of Mathematical Statistics, and Analysis of Variance and Regression Analysis. Each chapter ends with a summary, exercises, and self-assessment questions. At the end of the book, there is an appendix with tables of common distributions, reference answers to exercises and self-assessment questions. The content marked with an asterisk () can be selected based on different disciplines. The book is written in a concise manner, aiming for clarity and ease of understanding, with a focus on minimizing theoretical derivations to facilitate self-study. It can serve as a textbook for liberal arts and science majors in higher vocational and technical colleges, and can also be used by non-mathematics majors in normal universities.