Diagnostic analysis for heterogeneous log-Birnbaum-Saunders regression models

DOI10.1016/j.spl.2012.05.021zbMath1334.62174OpenAlexW2072856720MaRDI QIDQ452887

Feng-Chang Xie, Zhao-Xia Chen, Ai-Ping Li

Publication date: 18 September 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.05.021

zbMATH Keywords

heterogeneitymaximum likelihood estimatecase-deletionlocal influence analysislog-Birnbaum-Saunders regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Diagnostics, and linear inference and regression (62J20) Reliability and life testing (62N05)

Related Items (8)

On a tobit–Birnbaum–Saunders model with an application to medical data ⋮ A semiparametric Bayesian approach to joint mean and variance models ⋮ Heteroscedastic log-exponentiated Weibull regression model ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ A new extended Birnbaum-Saunders regression model for lifetime modeling ⋮ Robust inference for Birnbaum–Saunders regressions ⋮ The odd Birnbaum-Saunders regression model with applications to lifetime data ⋮ A semiparametric approach for joint modeling of median and skewness

Uses Software

• SPLIDA

Cites Work

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