Testing the Homogeneity of Two Survival Functions Against a Mixture Alternative Based on Censored Data

DOI10.1080/03610911003637414zbMath1192.62215OpenAlexW2087873329MaRDI QIDQ3577203

Liting Zhu, XianMing Tan, Dongsheng Tu

Publication date: 5 August 2010

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

Full work available at URL: https://doi.org/10.1080/03610911003637414

zbMATH Keywords

hypothesis testingcensored datamixture modelsurvival functions

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Censored data models (62N01) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Estimation and test in long-term survival mixture models
• Recent asymptotic results in testing for mixtures
• Survival analysis. Techniques for censored and truncated data.
• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models

This page was built for publication: Testing the Homogeneity of Two Survival Functions Against a Mixture Alternative Based on Censored Data