A mote on mle's in linear models with non-normal or dependent errors

DOI10.1080/03610928208828223zbMath0588.62110OpenAlexW1969659305MaRDI QIDQ3716099

James J. Higgins

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928208828223

zbMATH Keywords

reliabilitymaximum likelihood estimationlikelihood ratio statisticLinear modelsaccelerated life-testingnon-normal or dependent errorsPivotal functionstesting the general linear hypothesis

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Exact distribution theory in statistics (62E15)

Related Items (1)

Comparative Study of Blu and ML Estimators of Location and Scale Parameters of an Extreme Value Distribution for Small Samples and Type I Censorship

Cites Work

• Unnamed Item
• Analysis of single classification experiments based on censored samples from the two-parameter Weibull distribution
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Confidence Limits for Weibull Regression With Censored Data
• A Property of Maximum Likelihood Estimators of Location and Scale Parameters

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