Computational probability is a set of stochastic methods that has emerged over the past decade that allow researchers and students to solve problems that require exact probability calculations previously considered arduous or intractable.
Computational Probability is the first book that examines and organizes these computational methods into a systematic treatment. The book is structured around the two categories of problems: (1) Algorithms for Continuous Random Variables has chapters on data structures and algorithms, transformations of random variables, and products of independent random variables. (2) Algorithms for Discrete Random Variables includes data structures and algorithms, sums of independent random variables, and order statistics. The book includes three chapters that emphasize survival analysis and simulation applications. The APPL computational modeling language that gives probabilists a strong software resource for non-trivial problems is available at APPLsoftware.com.
Schlagwörter zu:
Computational Probability von John H. Drew - mit der ISBN: 9780387746760
APPL; Maple; Random variable; Simulation; Survival analysis; Transformation; algorithm; algorithms; calculus; computational probability; computer algebra; computer algebra system; modeling; statistics; univariate random variables; C; Probability Theory; Computational Mathematics and Numerical Analysis; Applications of Mathematics; Operations Research and Decision Theory; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Mathematical and Computational Engineering, Online-Buchhandlung
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