Signed likelihood ratio tests in the Birnbaum-Saunders regression model

DOI10.1016/j.jspi.2010.09.007zbMath1200.62124OpenAlexW1991813334WikidataQ57496521 ScholiaQ57496521MaRDI QIDQ607229

Artur J. Lemonte, Silvia L. P. Ferrari

Publication date: 19 November 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.09.007

zbMATH Keywords

maximum likelihood estimationMonte Carlo simulationslifetime dataBirnbaum-Saunders distributionfatigue life distributionsmall sample asymptoticssigned likelihood ratio test

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (14)

An extended fatigue life distribution ⋮ Diagnostics for a class of survival regression models with heavy-tailed errors ⋮ Improved hypothesis testing in a general multivariate elliptical model ⋮ Bayesian inference for the Birnbaum-Saunders nonlinear regression model ⋮ A log-linear regression model for the \(\beta\)-Birnbaum-Saunders distribution with censored data ⋮ Bartlett corrections in Birnbaum–Saunders nonlinear regression models ⋮ Inference in a bimodal Birnbaum-Saunders model ⋮ A log-Birnbaum–Saunders regression model with asymmetric errors ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ A new extended Birnbaum-Saunders regression model for lifetime modeling ⋮ Improved likelihood-based inference in Birnbaum-Saunders nonlinear regression models ⋮ Multivariate Birnbaum–Saunders regression model ⋮ Robust inference for Birnbaum–Saunders regressions ⋮ The odd Birnbaum-Saunders regression model with applications to lifetime data

Uses Software

• R
• Ox

Cites Work

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