Probability and statistics
by Morris H. DeGroot · first published 1975
4mentions
2recommended by
4HN commenters
2014–2020first – last mentioned
50% recommend50% neutral
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data.
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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-...
on “Ask HN: What is the best book to learn probability through self study?” ↗…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
on “Statistical Inference for Everyone” ↗…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…
on “Ask HN: What is a must read for a developer without a computer science degree?” ↗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…
on “All of Statistics, by Larry Wassserman (2013) [pdf]” ↗