Inferences on Weibull parameters with conventional type-I censoring

DOI10.1016/j.csda.2010.04.006zbMath1247.62061OpenAlexW2087615897MaRDI QIDQ452518

Hare Krishna, Avijit Joarder, Debasis Kundu

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.04.006

zbMATH Keywords

asymptotic distributionMonte Carlo simulationmaximum likelihood estimatorsGibbs samplingtype-I censoringapproximate maximum likelihood estimators

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Monte Carlo methods (65C05)

Related Items (13)

Study of cut-set distributions in the fuzzy reliability evaluation models ⋮ A comparison of different least-squares methods for reliability of Weibull distribution based on right censored data ⋮ Lin–Wong divergence and relations on type I censored data ⋮ Goodness of fit test using Lin-Wong divergence based on Type-I censored data ⋮ Unnamed Item ⋮ Estimation of the extremal index using censored distributions ⋮ Statistical inference for type I multiply left-censored samples from Weibull distribution ⋮ Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters ⋮ Estimation in Maxwell distribution with randomly censored data ⋮ Analysis of non-repairable cold-standby systems in Bayes theory ⋮ Inference on \(q\)-Weibull parameters ⋮ Objective Bayesian analysis for Weibull distribution with application to random censorship model ⋮ GENERALIZED WEIBULL LINEAR MODELS FOR TYPE-I CENSORING DATA

Cites Work

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• Bootstrap methods: another look at the jackknife
• A simple algorithm for generating random variates with a log-concave density
• Approximate MLEs for the location and scale parameters of the extreme value distribution with censoring
• Bayesian Analysis for the Poly-Weibull Distribution

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