Approximately distribution-free diagnostic tests for regressions with survival data

DOI10.1080/15598608.2014.935616zbMath1425.62068OpenAlexW1994238973MaRDI QIDQ2320965

Yanyan Li

Publication date: 28 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2014.935616

zbMATH Keywords

maximum likelihoodgoodness-of-fit testlifetime datatransformation to normality

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Reliability and life testing (62N05)

Uses Software

• gbs

Cites Work

• Unnamed Item
• Testing hypotheses in the Birnbaum-Saunders distribution under type-II censored samples
• An R implementation for generalized Birnbaum-Saunders distributions
• A log-extended Weibull regression model
• Inference procedures for the Birnbaum-Saunders distribution and its generalizations
• Log-modified Weibull regression models with censored data: sensitivity and residual analysis
• Size and power properties of some tests in the Birnbaum-Saunders regression model
• Testing goodness of fit for the distribution of errors in multivariate linear models
• Goodness-of-fit testing by transforming to normality: comparison between classical and characteristic function-based methods
• BAYESIAN INFERENCE IN BIRNBAUM–SAUNDERS REGRESSION
• Omnibus tests for the error distribution in the linear regression model
• A Log-Linear Model for the Birnbaum-Saunders Distribution
• A test for normality based on the empirical characteristic function
• A new class of survival regression models with heavy-tailed errors: robustness and diagnostics

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