Nice lists, I often recommend these for people who want an introduction to the field:<p>"Mathematical Statistics and Data Analysis" by John A. Rice<p>"All of Statistics: A Concise Course in Statistics" by Larry Wasserman<p>"Pattern Recognition and Machine Learning" by Christopher M. Bishop<p>"The Elements of Statistical Learning" by T. Hastie et al <a href="http://www-stat.stanford.edu/~tibs/ElemStatLearn/" rel="nofollow">http://www-stat.stanford.edu/~tibs/ElemStatLearn/</a><p>"Information Theory, Inference, and Learning Algorithms", David McKay <a href="http://www.inference.phy.cam.ac.uk/itprnn/book.html" rel="nofollow">http://www.inference.phy.cam.ac.uk/itprnn/book.html</a><p>"Introduction to Information Retrieval" - Manning et al. <a href="http://nlp.stanford.edu/IR-book/information-retrieval-book.html" rel="nofollow">http://nlp.stanford.edu/IR-book/information-retrieval-book.h...</a><p>"The Algorithm Design Manual, 2nd Edition" - Steven Skiena <a href="http://www.algorist.com/" rel="nofollow">http://www.algorist.com/</a>