Statistical Inference (English Edition. Second Edition)

Author: Leo Qi. Casella
Publisher:
Publish Date: 2005-09-01
Features: This book starts with the basics of probability theory and introduces a large number of modern statistical techniques and widely used distributions that are not commonly found in domestic textbooks through numerous examples and exercises. It covers the basics of engineering probability theory, classical statistics, and modern statistics, while also incorporating many practical methods and ideas from contemporary statistics, such as: Bootstrap resampling, Jackknife estimation, EM algorithm, Logistic regression, Robust regression, Markov chains, Monte Carlo methods, etc. Compared to popular domestic textbooks, the statistical content of this book is more theoretical, includes more models, covers a broader range of cases, has a richer application scope, and provides more detailed explanations of statistical concepts and algorithms. This book can serve as a textbook or reference for undergraduate and graduate students in engineering and management disciplines, and can also be used for self-study by teachers and engineering professionals.