Estimation and Tests in Finite Mixture Models for Censored Survival Data
Mohamed Lemdani, Odile Pons · Statistics · 1997
This paper presents a survival model where the hazard function is related to a density that is either a single distribution or a mixture of k parametric distributions. The main purpose of the statistical inference is to study the “susceptibility ratio” parameter. Using martingale methods, we prove asymptotic properties of the maximum likelihood estimates of the model parameters and we test the hypotheses of total contamination and nonmixture.