Influence of Informativeness of Censoring on the Efficiency of Parametrical Estimators
A. A. AbdushukurovLomonosov Moscow State University, 100060, Tashkent, Tashkent Branch, UzbekistanSabitbek ErisbaevBerdakh Karakalpak State University, 230100, Nukus, Uzbekistan
ABI
Abstract
In this paper, we considered Fisher information in competing risks model. We demonstrated property that if competing risks is not informative then it leads to loss of information. For a unbiased estimator proved the efficiency of it for special exponential model of densities.