Bias-corrected maximum likelihood estimators of the parameters of the inverse Weibull distribution

DOI10.1080/03610918.2018.1433838OpenAlexW2789446283MaRDI QIDQ5087478

Josmar Mazucheli, Sanku Dey, André F. B. Menezes

Publication date: 1 July 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2018.1433838

zbMATH Keywords

Monte Carlo simulationmaximum likelihood estimatorsinverse Weibull distributionbootstrap bias-correctionCox-Snell bias-correction

Mathematics Subject Classification ID

Point estimation (62F10) Bootstrap, jackknife and other resampling methods (62F40) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (5)

A new bias-corrected estimator method in extreme value distributions with small sample size ⋮ bccp: an R package for life-testing and survival analysis ⋮ The extended gamma distribution with regression model and applications ⋮ Maximum likelihood estimation of the Weibull distribution with reduced bias ⋮ Estimation of the generalized process capability indexC_pykbased on bias-corrected maximum-likelihood estimators for the generalized inverse Lindley distribution and bootstrap confidence intervals

Uses Software

• Ox
• mle.tools

Cites Work

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