Bias-corrected maximum likelihood estimation of the parameters of the generalized half-normal distribution

DOI10.1080/00949655.2017.1413649OpenAlexW2771411710MaRDI QIDQ4960590

Sanku Dey, Josmar Mazucheli

Publication date: 23 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2017.1413649

zbMATH Keywords

Monte Carlo simulationmaximum likelihood estimatorsbias correctiongeneralized half-normal distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

bccp: an R package for life-testing and survival analysis ⋮ Improved maximum likelihood estimators for the parameters of the Johnson S_B distribution ⋮ Bias-corrected maximum likelihood estimators of the parameters of the inverse Weibull distribution ⋮ Improved maximum likelihood estimation of the parameters of the Gamma-Uniform distribution with bias-corrections ⋮ Unnamed Item ⋮ Unnamed Item ⋮ 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

• R
• Ox
• bootstrap
• mle.tools
• bootlib

Cites Work

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• Maximum Likelihood Estimation and Inference
• Bias Correction in the Type I Generalized Logistic Distribution
• Improved Likelihood Based Inference for the General Half-Normal Distribution
• Bathtub distributions: a review
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• Bias reduction of maximum likelihood estimates
• Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution
• Improved point estimation for the Kumaraswamy distribution
• Parameter Estimation for a Generalized Gamma Distribution
• Bias Reduction for the Maximum Likelihood Estimator of the Parameters of the Generalized Rayleigh Family of Distributions
• BATHTUB‐TYPE CURVES IN RELIABILITY AND BEYOND
• A new family of life distributions
• A Generalization of the Gamma Distribution
• Advances in reliability

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