Probability Theory and Mathematical Statistics below

Author: Li Yuqi, edited by Liu Haiyan
Publisher:
Publish Date: 2004-08-01
Features: This book is specifically written as a textbook for undergraduate students studying Probability Theory and Mathematical Statistics courses. It can also serve as a reference for professionals in related fields and for researchers and engineering technicians engaged in work related to Probability Theory and Mathematical Statistics. The book is divided into two volumes, containing a total of 10 chapters. The first volume includes fundamental concepts of Probability Theory, random variables and their distributions, multivariate random variables and their distributions, the digital characteristics of random variables, the law of large numbers and the central limit theorem, as well as simple applications of Probability Theory. The second volume covers basic concepts of Mathematical Statistics, sample distributions, parameter estimation, hypothesis testing, linear statistical inference, and commonly used multivariate statistical methods. At the end of each chapter, there are numerous review questions, basic exercises, comprehensive exercises, and self-assessment questions to help readers systematically and firmly grasp the knowledge of Probability Theory and Mathematical Statistics.