Probability Theory and Mathematical Statistics (Second Edition)

Author: Su Junhe
Publisher:
Publish Date: 2005-03-07
Features: This book is divided into nine chapters. Part I Probability Theory, mainly covering the basics of probability, including random variables and their distributions, the digital characteristics of random variables, the law of large numbers, and the central limit theorem. Part II Mathematical Statistics, elaborating on the fundamentals of mathematical statistics, parameter estimation, hypothesis testing, nonparametric methods, and regression analysis. This textbook has the following features: 1. It has a financial and economic focus, with examples that are as closely related to socio-economics as possible; 2. It considers the important role of computers in statistics, providing computer programs after introducing some statistical methods; 3. It has a wide scope of applicability, serving as a textbook for undergraduate statistics majors as well as an introductory textbook for statistics for various audiences; 4. It combines theory and methods, emphasizing both the exposition of fundamental theories and the practical application of various methods.