Probability and Statistics - (3rd Edition)

Author: De Groot
Publisher:
Publish Date: 2007-03-01
Features: This book includes two parts: Introduction and Mathematical Statistics, covering topics such as conditional probability, random variables and their distributions, mathematical expectation, special distributions, estimation, sampling distributions of estimators, hypothesis testing, categorical data and nonparametric methods, linear statistical models, and stochastic simulation. The knowledge structure of this book aligns with mainstream probability theory and mathematical statistics textbooks in China, but the content selection and arrangement of examples are quite novel. It particularly introduces some very practical and advanced simulation methods. The book also provides solutions to odd-numbered exercises and an index at the end. As a textbook for probability theory and mathematical statistics, it is suitable for senior undergraduate and graduate students as a teaching or reference material, as well as for statisticians as a reference book.