Maximum likelihood estimation of parameters in a perturbed exponential model
G. Nanjundan, T. Raveendra Naika · 2011
Suppose that a social group under study consists of both suitable and unsuitable people for the transplantation of an organ. Then, the lifetime after the transplantation of an individual coming from this group turns out to be a mixture. This paper discusses the maximum likelihood estimation of the parameters involved in the mixture model using the EM algorithm. The performance of the estimates is studied through simulation.