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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
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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.

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