Estimating the parameters of 3-p Weibull distribution using particle swarm optimization: A comprehensive experimental comparison
作者：
Highlights：
• The Weibull distribution is used lifetime distributions in reliability engineering.
• The estimation of the parameters of this distribution is essential.
• Maximum likelihood (ML) estimation is a common method for parameter estimation.
• The working principle of ML estimation based on maximizing the likelihood function.
• We used particle swarm optimization as parameter estimation tool in 3-p Weibull.
摘要
•The Weibull distribution is used lifetime distributions in reliability engineering.•The estimation of the parameters of this distribution is essential.•Maximum likelihood (ML) estimation is a common method for parameter estimation.•The working principle of ML estimation based on maximizing the likelihood function.•We used particle swarm optimization as parameter estimation tool in 3-p Weibull.
论文关键词：3-p Weibull distribution,Maximum likelihood estimation,Particle swarm optimization,Inertia weight procedures
论文评审过程：Received 11 March 2015, Revised 22 May 2015, Accepted 12 June 2015, Available online 9 July 2015, Version of Record 9 July 2015.
论文官网地址：https://doi.org/10.1016/j.amc.2015.06.043
