New Probability Theory and Mathematical Statistics

Author: Xiao Xiaonan
Publisher:
Publish Date: 2002-01-10
Features: The book is divided into eight chapters, covering the basic content of probability theory and mathematical statistics: random events and their probabilities, random variables and their distributions, the digital characteristics of random variables, the law of large numbers and the central limit theorem, statistics and their distributions, parameter estimation, hypothesis testing, analysis of variance, and regression analysis. The book features innovative design, clear exposition, in-depth yet accessible explanations, conciseness, emphasis on key points, and originality. It focuses on training students' foundational knowledge and developing comprehensive skills. Each section includes a selection of examples and exercises (Group A for basic practice and Group B for advanced practice), and each chapter concludes with a comprehensive exercise set. The book also provides answers and hints to exercises at the end for both teachers and students' self-study. This book can serve as a textbook or reference for undergraduate students in higher engineering and economics programs, as well as for night and correspondence students in engineering and economics disciplines. It is also suitable for science and engineering technicians, as well as candidates for postgraduate studies in engineering and economics.