Asymptotic Properties of Likelihood Ratio Statistics in Competing Risks Model Under Interval Random Censoring
A. A. AbdushukurovTashkent Branch of Moscow State University named after M. V. Lomonosov, 100060, Tashkent, UzbekistanN. S. NurmukhamedovaNational University of Uzbekistan named after M. Ulugbek, 100174, Tashkent, Uzbekistan
ABI
Аннотация
In this paper we consider local asymptotic normality of likelihood ratio statistics in competing risks model under random censoring by nonobserving intervals. Using the property of local asymptotic normality we investigate asymptotic properties of Bayesian type estimates for unknown parameter and prove its asymptotic efficiency.
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