Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison

DOI10.1016/j.amc.2015.06.043zbMath1410.62034OpenAlexW2300587709MaRDI QIDQ668103

Mustafa Isa Dogan, H. Hasan Örkcü, Ertugrul Aksoy, Volkan Soner Özsoy

Publication date: 18 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.06.043

zbMATH Keywords

maximum likelihood estimationparticle swarm optimization\(3\)-\(p\) Weibull distributioninertia weight procedures

Mathematics Subject Classification ID

Point estimation (62F10) Approximation methods and heuristics in mathematical programming (90C59) Reliability and life testing (62N05)

Related Items (7)

A cooperative particle swarm optimization with constriction factor based on simulated annealing ⋮ Adaptative bounds and estimation in the case of the three-parameter Weibull distribution ⋮ EFFICIENT BOUNDS FOR SCALE AND THRESHOLD PARAMETERS IN THE CASE OF THE THREE-PARAMETER WEIBULL DISTRIBUTION ⋮ A multi-objective programming approach to Weibull parameter estimation ⋮ Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods ⋮ Particle swarm optimization applied to parameter estimation of the four-parameter Burr III distribution ⋮ Maximum likelihood estimation for three-parameter Weibull distribution using evolutionary strategy

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