Parameter estimation of three-parameter Weibull distribution based on progressively Type-II censored samples

DOI10.1080/00949655.2011.591797zbMath1431.62460OpenAlexW1979616236MaRDI QIDQ4925444

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Publication date: 12 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.591797

zbMATH Keywords

maximum likelihood estimationMonte Carlo simulationlifetime datamaximum product spacing estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Related Items (10)

Parameter estimation of inverse Lindley distribution for type-I censored data ⋮ A consistent method of estimation for the three-parameter Weibull distribution ⋮ A new approach to fitting the three-parameter Weibull distribution: An application to glass ceramics ⋮ Stage life testing with random stage changing times ⋮ Analysis of progressive type-II censored gamma distribution ⋮ Maximum likelihood prediction of records from 3-parameter Weibull distribution and some approximations ⋮ Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison ⋮ Existence, uniqueness and consistency of estimation of life characteristics of three-parameter Weibull distribution based on Type-II right censored data ⋮ Progressive type-II hybrid censored schemes based on maximum product spacing with application to power Lomax distribution ⋮ An Efficient Method of Parameter and Quantile Estimation for the Three-Parameter Weibull Distribution Based on Statistics Invariant to Unknown Location Parameter

Uses Software

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Cites Work

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• Nonlinear weighted least squares estimation of a three-parameter Weibull density with a nonparametric start
• On the existence of the nonlinear weighted least squares estimate for a three-parameter Weibull distribution
• Finding maximum likelihood estimators for the three-parameter Weibull distribution
• Modified weighted least-squares estimators for the three-parameter Weibull distribution
• Estimation of parameters from progressively censored data using EM algorithm
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Estimation of parameters of the Weibull distribution based on progressively censored data
• The Weibull Distribution
• Maximum likelihood estimation in a class of nonregular cases
• Multi-Censored Sampling in the Three Parameter Weibull Distribution
• Weibull Models
• ESTIMATIONS OF THE PARAMETERS OF THE WEIBULL DISTRIBUTION WITH PROGRESSIVELY CENSORED DATA

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