Selecting Parameters of Phase Distributions: Combining Nonlinear Programming, Heuristics, and Erlang Distributions

DOI10.1287/ijoc.5.1.69zbMath0775.60005OpenAlexW2038290120MaRDI QIDQ4202472

Publication date: 31 August 1993

Published in: ORSA Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.5.1.69

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Probability distributions: general theory (60E05) Nonlinear programming (90C30) Computational methods for problems pertaining to operations research and mathematical programming (90-08)

Related Items (10)

Experimenting with the Coxian phase-type distribution to uncover suitable fits ⋮ Parametric survival densities from phase-type models ⋮ Improvement of expectation–maximization algorithm for phase‐type distributions with grouped and truncated data ⋮ A Laplace transform method for order statistics from nonidentical random variables and its application in phase-type distribution ⋮ A Variational Bayesian Approach for Estimating Parameters of a Mixture of Erlang Distribution ⋮ Fitting with Matrix-Exponential Distributions ⋮ Group replacement polices for parallel systems whose components have phase distributed failure times ⋮ Higher order approximations for the single server queue with splitting, merging and feedback ⋮ Higher order approximations for tandem queueing networks ⋮ Variational Bayes for Phase-Type Distribution

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