Statistical Inference (Second Edition of the English Version Original Book)

Author: Leo Breiman
Publisher:
Publish Date: 2004-02-01
Features: This book starts from the basics of probability theory and introduces a large number of modern statistical techniques and distributions commonly used but not found in similar domestic textbooks through extensive examples and exercises. Its content includes an introduction to probability theory for engineering students, classical statistics, and the foundations of 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 ideas and algorithms. This book can serve as a textbook or reference for undergraduate and graduate students in engineering and management disciplines, as well as for teachers and engineering professionals for self-study.