They were not textbooks for any course. But I liked these: 1. Mathematics and Plausible Reasoning by George Pólya 2. Probability Theory: The Logic of Science by E.T. Jaynes
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They were not textbooks for any course. But I liked these: 1. Mathematics and Plausible Reasoning by George Pólya 2. Probability Theory: The Logic of Science by E.T. Jaynes
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Computer science: Knuth's TAOCP. And Sipser's Introduction to the Theory of Computation. Programming: SICP, K&R, and Stroustrup. Siebel's Practical common lisp. Artificial intelligence: AI a modern approach. Signals and Systems: Oppenheim's book Probability and statistics: Probability Theory: The Logic of Science by Jaynes
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Probability Theory: The Logic of Science by E. T. Jaynes.
Probability Theory: The Logic of Science by E. T. Jaynes I was doing a post-grad degree in biomedical engineering and that book set me on a path to become a statistician -- exclusively Bayesian at the start, but now well-versed in all sorts of approaches. (Still prefer Bayes, but I'm only dogmatic about it in theory, not in practice.)
Probability Theory: The Logic of Science http://www.amazon.com/Probability-Theory-The-Logic-Science/d... (http://www.amazon.com/Probability-Theory-The-Logic-Science/dp/0521592712)
Probability Theory: The Logic of Science by E. T. Jaynes http://www.amazon.com/Probability-Theory-Science-T-Jaynes/dp... (http://www.amazon.com/Probability-Theory-Science-T-Jaynes/dp/0521592712) http://bayes.wustl.edu/etj/prob/book.pdf http://omega.albany.edu:8008/JaynesBook.html