概率与统计
Probability and statistics
Morris H. DeGroot · 初版 1975 年
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这部备受推崇的经典教材修订版兼顾了经典方法与贝叶斯方法，如今新增了关于模拟（包括马尔可夫链蒙特卡罗和Bootstrap）的全新一章，扩充了线性模型中残差分析的篇幅，并增加了更多采用真实数据的实例。
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Probability and statistics
Morris H. DeGroot · 初版 1975 年
这部备受推崇的经典教材修订版兼顾了经典方法与贝叶斯方法，如今新增了关于模拟（包括马尔可夫链蒙特卡罗和Bootstrap）的全新一章，扩充了线性模型中残差分析的篇幅，并增加了更多采用真实数据的实例。
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我个人觉得通俗易懂而且习题很不错的书之一，是 Morris H. DeGroot 和 Mark J. Schervish 写的《Probability and Statistics》http://www.amazon.com/Probability-Statistics-Edition-Morris-...
One of the books that I personally found easy to read with good exercises is Probability and Statistics by Morris H. DeGroot, Mark J. Schervish http://www.amazon.com/Probability-Statistics-Edition-Morris-...
……这里挑一小部分样本（sample，无双关意）：- Hogg & Tanis 写的《Probability and Statistical Inference》（我们统计课用的就是这本）- Devore & Berk 写的《Modern Mathematical Statistics with Applications》- DeGroot & Schervish 写的《Probability and Statistics》
…Here's a small sample (no pun intended): - Probability and Statistical Inference by Hogg & Tanis (we used this in my stats course) - Modern Mathematical Statistics with Applications by Devore & Berk - Probability and Statistics by DeGroot & Schervish
……我在大学里学过的科目书目：Donald Knuth 的《The Art of Computer Programming》、Thomas Cormen 的《Introduction to Algorithms》、Peter Linz 的《An Introduction to Formal Languages and Automata》、Morris H. DeGroot 的《Probability and Statistics》、William Stallings 的《Operating Systems: Internals and Design Principles》、Christof Paar 的《Understanding Cryptography》、以及《Database Systems: Fundamentals of Design, Implementations…
…of topics I've studied at the University: The Art of Computer Programming by Donald Knuth Introduction to Algorithms by Thomas Cormen An Introduction to Formal Languages and Automata by Peter Linz Probability and Statistics by by Morris H. DeGroot Operating Systems: Internals and Design Principles by William Stallings Understanding Cryptography by Christof Paar Database Systems: Fundamentals of Design, Implementations…
我当年上统计推断（Statistical Inference）课的时候，我们结合着参考了《Statistical Inference》（Casella 和 Berger 著）、《Introduction to Mathematical Statistics》（Hogg 和 Craig 著）以及《Probability and Statistics》（Degroot 和 Schervish 著）。如果你还想深入了解费舍尔信息量（Fisher Information）和克拉美-罗下界（Cramer-Rao Lower Bound），可以去翻翻《Probability and Statistics》第 8 版的第 514 - 521 页。那上面有……
When I was taking a class in Statistical Inference, we used a combination of Statistical Inference (Casella and Berger), Introduction to Mathematical Statistics (Hogg and Craig) and Probability and Statistics (Degroot and Schervish). If you're still interested in learning about Fisher Information and the Cramer-Rao Lower Bound, you can refer to pages 514 - 521 of Probability and Statistics 8th Ed. It has a…