Computational probability : algorithms and applications in the mathematical sciences

"This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapt...

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Bibliographic Details
Main Authors Drew, John H., Evans, Diane L. 1954- (Author), Glen, Andrew G. (Author), Leemis, Lawrence M. (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, [2017]
EditionSecond edition.
SeriesInternational series in operations research & management science ; v. 246.
Subjects
Mathematics > Data processing.
Probabilities > Data processing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319433233
9783319433219
Physical Description1 online resource

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Table of Contents:
  • Computational probability
  • Maple for APPL
  • Data structures and simple algorithms
  • Transformations of random variables
  • Bivariate transformations of random variables
  • Products of random variables
  • Data structures and simple algorithms
  • Sums of independent discrete random variables
  • Order statistics for random sampling from discrete populations
  • Reliability and survival analysis
  • Symbolic ARMA model analysis
  • Stochastic simulation
  • Transient queuing analysis
  • Bayesian applications
  • Other applications.

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