Maximum Likelihood Estimation Under Misspecified Lognormal and Weibull Distributions

DOI10.1081/SAC-200068380zbMath1072.62096OpenAlexW2064883836MaRDI QIDQ5697361

Francis Pascual

Publication date: 17 October 2005

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

Full work available at URL: https://doi.org/10.1081/sac-200068380

zbMATH Keywords

asymptotic biasasymptotic mean square errordistribution misspecificationquasi-maximum likelihood estimatorstype I and II censoring

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Censored data models (62N01) Robustness and adaptive procedures (parametric inference) (62F35) Estimation in survival analysis and censored data (62N02)

Related Items

Discriminating between the Weibull and log-normal distributions for Type-II censored data, Mis-specification Analyses of Nonlinear Wiener Process-based Degradation Models, Discriminating between the generalized Rayleigh and Weibull distributions, Model misspecification effects for biased samples

Cites Work

• Maximum Likelihood Estimation of Misspecified Models
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