Using BBPSO Algorithm to Estimate the Weibull Parameters with Censored Data

DOI10.1080/03610918.2012.762386zbMath1462.62594OpenAlexW1971347606MaRDI QIDQ2876169

Fu-Kwun Wang

Publication date: 18 August 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.762386

zbMATH Keywords

censored dataaximum likelihood estimationbare bones particle swarm optimizationWeibull distribution.

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Estimating the parameters of twofold Weibull mixture model in right-censored reliability data by using genetic algorithm ⋮ Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods ⋮ Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison

Cites Work

• Estimating the parameters of Weibull distribution using simulated annealing algorithm
• On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data
• One- and Two-Sample Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data
• Bayesian and Non Bayesian Estimations on the Exponentiated Modified Weibull Distribution for Progressive Censored Sample
• A New Algorithm for Maximum Likelihood Estimation with Progressive Type-I Interval Censored Data
• Prediction Intervals for an Ordered Observation from Weibull Distribution Based on Censored Samples
• Accelerated Testing
• Weibull Models

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