Probability Theory and Mathematical Statistics

Author: Chen Shengshuang
Publisher:
Publish Date: 2006-08-01
Features: This book is compiled based on the author's many years of teaching practice, combining the basic requirements of probability theory and mathematical statistics courses for economics, management, and engineering majors. The main content includes: Probability of random events; Univariate random variables and distributions; Multivariate random variables and distributions; Digital characteristics of random variables; Law of large numbers and central limit theorem; Samples and sampling distributions; Parameter estimation; Hypothesis testing, totaling eight chapters. Each section of every chapter is basically accompanied by exercises (except Chapter 5), and each chapter also includes a summary and review questions. This book is suitable for students of engineering and other non-mathematics majors in higher education institutions, and is also applicable to probability theory and mathematical statistics courses with fewer teaching hours or multi-level teaching.