Probability Theory and Mathematical Statistics

Author: Liu Xiaoshi
Publisher:
Publish Date: 2000-08-01
Features: This book is primarily written for the needs of non-mathematics majors in science and engineering, as well as students in management science, to learn probability and statistics. The content includes: Random events and probability, Discrete random variables and distributions, Continuous random variables and distributions, Digital characteristics, Law of large numbers and Central limit theorem, Sampling distributions, Parameter estimation, Hypothesis testing, Analysis of variance and Regression analysis, etc. At the end of each chapter, comprehensive examples are provided, along with a substantial number of exercises of varying difficulty levels for selection. A series of numerical tables and answers to exercises are included at the end of the book. This book can serve as a textbook for probability and statistics courses for non-mathematics majors in science, engineering, and management science at universities, as well as a reference book for engineering technicians and college students preparing for postgraduate entrance exams.