Classical and Bayesian estimation of Weibull distribution in presence of outliers

DOI10.1080/23311835.2017.1300975zbMath1426.62083OpenAlexW2597141132MaRDI QIDQ5193392

Alok Kumar Singh, Puneet Kumar Gupta

Publication date: 10 September 2019

Published in: Cogent Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/23311835.2017.1300975

zbMATH Keywords

Weibull distributionMetropolis-Hastings algorithmMCMC methodoutlierGibbs sample

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Bayesian inference (62F15)

Related Items (5)

Loss functions in restricted parameter spaces and their Bayesian applications ⋮ Bayesian inference in a multiple contaminated autoregressive model with trend ⋮ Classical and Bayesian estimation of entropy for Pareto distribution in presence of outliers with application ⋮ Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process ⋮ Stochastic outlook of two non-identical unit parallel system with priority in repair

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• Classical Estimator of Parameters of the Gamma Case With Presence of Two Outliers
• Inferential statistics on the dynamic system model with time-dependent failure-rate
• Reliability and Risk
• Bayesian survival analysis

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