Probability Theory and Mathematical Statistics

Author: Su Junhe, Editor-in-Chief
Publisher:
Publishing Date: 2005-03-01
Features: This book is divided into nine chapters. Part I Probability Theory, mainly covers 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, elaborates on the basics 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 the social economy as possible; 2. It considers the important role of computers in statistics, and includes computer programs after some statistical method introductions; 3. It has a wide scope of applicability, as this textbook can serve as a textbook for undergraduate statistics majors as well as an introductory textbook for statistics for various audiences; 4. It combines theory and methods, as this textbook not only emphasizes the explanation of basic theories but also focuses more on the specific use of various methods.