Probability Theory and Mathematical Statistics (Science and Engineering)

Author: Guo Yunrui, Tan Dejun
Publisher:
Publishing Time: Not available
Features: This book is one of the core textbooks for "Higher Education Institutions' 11th Five-Year Series," written based on the teaching syllabus and basic requirements for the probability theory and mathematical statistics course in science and engineering disciplines of higher education institutions. It incorporates the authors' extensive teaching experience and research findings. The content includes: Random Events and Probability, Random Variables and Their Distributions, Random Vectors and Their Distributions, Digital Characteristics, Law of Large Numbers and Central Limit Theorem, Sampling Distributions, Parameter Estimation, Hypothesis Testing, Analysis of Variance, and Regression Analysis. Each chapter is accompanied by exercises, and reference answers are provided at the end of the book. Selected past graduate entrance examination questions are included in the examples and exercises to facilitate teaching and aid in exam preparation. This book can be used as a textbook or reference for comprehensive universities, higher science and engineering colleges, and higher normal colleges (non-mathematics majors). It is also suitable for use by teachers and students in various adult education programs.