Computational Probability Algorithms and Applications in the Mathematical Sciences /

• Main Authors: Drew, John H. (Author), Evans, Diane L. (Author), Glen, Andrew G. (Author), Leemis, Lawrence M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2008.
• Series: In Operations Research & Management Science, 117
• Subjects: Mathematics.; Operations research.; Decision making.; Applied mathematics.; Engineering mathematics.; Computer mathematics.; Probabilities.; Statistics.; Applications of Mathematics.; Operation Research/Decision Theory.; Probability Theory and Stochastic Processes.; Appl.Mathematics/Computational Methods of Engineering.; Computational Mathematics and Numerical Analysis.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Computational probability encompasses data structures and algorithms that have emerged over the past decade that allow researchers and students to focus on a new class of stochastic problems. COMPUTATIONAL PROBABILITY is the first book that examines and presents these computational methods in a syst...

Table of Contents:

• Computational Probability
• Maple for APPL
• Algorithms for Continuous Random Variables
• Data Structures and Simple Algorithms
• Transformations of Random Variables
• Products of Random Variables
• Algorithms for Discrete Random Variables
• Data Structures and Simple Algorithms
• Sums of Independent Random Variables
• Order Statistics
• Applications
• Reliability and Survival Analysis
• Stochastic Simulation
• Other Applications.