This 19-chapter book explores the development of computational techniques in probability and statistics and their application to problems in insurance. It covers six general topics, including computational probability, computational statistics, computational risk theory, analysis of algorithms, numerical methods, and notation and computation. Applications covered both life and nonlife insurance.
Computational Probability. Select Format: Hardcover. ISBN13:9780123946805. Release Date:June 1980. Computational Probability.
Paul Nahin's Digital Dice is a marvelous book, one that is even better than his Duelling Idiots
Paul Nahin's Digital Dice is a marvelous book, one that is even better than his Duelling Idiots. Nahin presents twenty-one great probability problems, from George Gamow's famous elevator paradox (as corrected by Donald Knuth) to a bewildering puzzle involving two rolls of toilet paper, and he solves them all with the aid of Monte Carlo simulations and brilliant, impeccable reasoning.
Conference on Computational Probability (1975 : Brown University); Kahn, P. M. (Paul Markham); Society of Actuaries. Books for People with Print Disabilities. Internet Archive Books. Uploaded by Lotu Tii on August 7, 2015.
Department of Applied Mathematics. Insurance, Insurance, Probabilities. SIMILAR ITEMS (based on metadata). Terms of Service (last updated 12/31/2014).
Computational Probability Learn how to read digital books for free. Learn how to read digital books for free.
Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to get numerical answers to difficult probability problems without having to solve complicated mathematical equations.
Report an error in the book. Concise and highly focused, this volume offers everything high school and beginning college students need to know to handle problems in probability and statistics. Numerous rigorously tested examples and coherent, to-the-point explanations are presented in an easy-to-follow format. The treatment is organized in a way that permits readers to advance sequentially or skip around between chapters.