Semiparametric Estimation of Distribution Function in the Informative Model of Competing Risks


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In this paper we consider an informative model of competing risks. We offer a new power estimate for the distribution function and prove its asymptotic equivalence to the previously known estimates and its efficiency compared to the well-known multiplicative Kaplan–Meier estimate.

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A. Abdushukurov

National University of Uzbekistan named after Mirzo Ulugbek

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Email: a_abdushukurov@rambler.ru
乌兹别克斯坦, Tashkent

D. Makhmudova

National University of Uzbekistan named after Mirzo Ulugbek

Email: a_abdushukurov@rambler.ru
乌兹别克斯坦, Tashkent

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