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- W4243077151 abstract "Free Access References Peter Olofsson, Peter OlofssonSearch for more papers by this author Book Author(s):Peter Olofsson, Peter OlofssonSearch for more papers by this author First published: 27 May 2005 https://doi.org/10.1002/9780471743064.refs AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. References F. Mosteller, Fifty Challenging Problems in Probability with Solutions, Addison-Wesley, Reading, MA–London, 1965 [the classic, and charmingly dated (mentions logarithm tables!), collection of probability problems]. G. Blom, L. Hoist, and D. Sandell, Problems and Snapshots from the World of Probability, Springer-Verlag, New York, 1994 (the modern, comprehensive, and mathematically stringent successor of Mosteller. A wealth of interesting problems). J. Haigh, Taking Chances: Winning with Probability, Oxford University Press, 2003 (an entertaining nontechnical book on the probability considerations of everything from roulette to “Who wants to be a millionaire?”). J. A. Paulos, Innumeracy: Mathematical Illiteracy and Its Consequences, Hill & Wang, 2001 (the bestseller that debunks myths and discusses misunderstandings of mathematics, probability, and statistics in everyday life). D. Kahneman, P. Slovic, and A. Tversky, Judgment under Uncertainty: Heuristics and Biases, Cambridge University Press, 1982 (extensive treatment of the psychology of probability considerations in decision making). R. Meester, A Natural Introduction to Probability Theory, Birkhäuser Basel, 2003 (a clear and focused introduction to probability, with an aim to prepare the reader for more advanced theory). G. Grimmett and D. Stirzaker, Probability and Random Processes, 3rd edition, Oxford University Press, New York, 2001 (a comprehensive introduction to intermediate probability theory, Markov chains, and other stochastic processes). O. Häggström, Finite Markov Chains and Algorithmic Applications, Cambridge University Press, 2002 (an excellent introduction to the theory of Markov chains with finite state space, and their use in computer simulation). J. Stoyanov, Counterexamples in Probability, 2nd edition, Wiley, Chichester, UK, 1997 (the book that somebody just had to write, with all those results that ought to be true but are not; fast-paced on a mostly advanced level). D. Freedman, R. Pisani, and R. Purves, Statistics, 3rd edition, Norton, New York, 1998 (it is hard to believe that a book with this title can be highly entertaining, but it is; the text is clear and exact without being technical, and contains plenty of interesting real-world examples). Probability, Statistics, and Stochastic Processes ReferencesRelatedInformation" @default.
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