Think Stats: Probability and Statistics for Programmers Think Stats: Probability and Statistics for Programmers

一代数学天才，世所公认的概率学界学术教父、最后一位集大成者，斯坦福大学数学系前系主任、荣休教授，华人数学家钟开莱先生，于6月2日辞世，享年92岁。 这本概率论与随机过程教程是大师的经典之作。无需太多介绍。 向大师致敬！ （本资源无需任何积分）

Probability statistics analysis 概率 统计 似然函数

面向本科生的入门级教科书，提出了概率方面的关键思想，并描述了各种应用程序和非直观示例。

CSDN 好像不支持 0 积分上传，那就 1 积分意思意思吧 A First Course in Probability, 9th Edition, Original eBook 概率论基础教程，高清，9，书签 Solution Manual 答案 拒绝知识垄断，拒绝盗版再收益

很好的教材

Authors Krishna B. Athreya Soumendra N. Lahiri Copyright 2006 Publisher Springer-Verlag New York DOI 10.1007/978-0-387-35434-7 This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics. It is intended primarily for first year Ph.D. students in mathematics and statistics although mathematically advanced students from engineering and economics would also find the book useful. Prerequisites are kept to the minimal level of an understanding of basic real analysis concepts such as limits, continuity, differentiability, Riemann integration, and convergence of sequences and series. A review of this material is included in the appendix.

经典概率论教材，英文第三版，没有书签。 适合想深度学习概率论的同学。

The salient features of this book are . Functional and statistical independence of random variables are explained. . Ready reference to commonly occurring density and distribution functions and their means and variances is provided. . A section on Benford’s logarithmic law, which is used in detecting tax fraud, is included. . More than 300 examples, many of them solved in different ways to illustrate the theory and various applications of probability, are presented. . Most examples have been substantiated with graphs drawn to scale.

概率论书籍 Probability: Theory and Examples Rick Durrett