Probability Theory and Mathematical Statistics

Author: Liu Xiaoshi Chen Hongjian He Lamei
Publisher:
Publish Date: 2005-01-01
Features: This book is primarily written for the needs of non-mathematics majors in science and engineering, as well as management science students, in learning 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, ranging in difficulty to cater to different levels of learning. The book also includes a series of numerical tables and answers to exercises at the end. This book can serve as a textbook for probability and statistics courses for non-mathematics majors in universities and colleges, as well as a reference book for engineering professionals and college students preparing for postgraduate entrance exams.