A multi-objective programming approach to Weibull parameter estimation

DOI10.15672/hujms.912435OpenAlexW4200528476MaRDI QIDQ5075967

E. Yurtseven, Emre Koçak, H. Hasan Örkcü

Publication date: 12 May 2022

Published in: Hacettepe Journal of Mathematics and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15672/hujms.912435

zbMATH Keywords

multi-objective programmingWeibull distributionNSGA-IIWeibull parameter estimation

Mathematics Subject Classification ID

Point estimation (62F10) Multi-objective and goal programming (90C29) Statistical ranking and selection procedures (62F07)

Cites Work

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• Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison
• Estimating the parameters of Weibull distribution using simulated annealing algorithm
• Nonlinear weighted least squares estimation of a three-parameter Weibull density with a nonparametric start
• Computation approaches for parameter estimation of Weibull distribution
• A new extension of Weibull distribution: properties and different methods of estimation
• Robust estimation and hypothesis testing under short-tailedness and inliers
• Unweighted least squares estimation of weibull parameters

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