MAXIMUM LIKELIHOOD ANALYSIS OF DEPENDENT MASKED DATA UNDER COMPETING RISK MODEL

摘要

In this paper, we consider the maximum likelihood analysis of masked data under competing risk model. We discuss the model where masking probabilities are component dependent. Assuming the 'generalized life distribution' as life time distribution, weobtain the Maximum likelihood estimates of various parameters and masking probabilities using EM algorithm. We illustrate various results with numerical example.