Probability Theory and Mathematical Statistics

Author: Huang Qinglong Ruan Hongshun
Publisher:
Publish Date: 2005-08-01
Features: This book systematically introduces the fundamental content of probability theory and mathematical statistics, including random events and probability, univariate and multivariate random variables and their probability distributions, the digital characteristics of random variables, the law of large numbers and the central limit theorem, sampling and sampling distributions, parameter estimation, hypothesis testing, analysis of variance, and regression analysis. In response to the trend of mass higher education, this book focuses on basic concepts, theories, and methods, striving for detailed content descriptions and easy-to-understand language, without theoretical depth or problem-solving techniques. Through specific and interesting examples, it presents the basic concepts and thought methods of probability and statistics, and clarifies the thinking process and steps for analyzing and solving problems using probability and statistical methods, thereby inspiring students' interest in learning and cultivating their ability to analyze and solve problems. The book also introduces the statistical functions and applications of MATLAB. It can serve as a textbook or teaching reference for engineering and science (non-teaching) majors in higher education institutions, as well as a reference for engineering technicians, managers, and self-learners.