Abstract
A class of nonparametric kernel estimates is suggested for an unknown hazard rate function and its derivative. Distribution and mean square convergences of the proposed estimates to the unknown hazard function and its derivative are proved. These estimates can be used for solving the problems of operational reliability of complex physical, technical, and program systems under uncertainty conditions.
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Additional information
State University, Tomsk. Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 3, pp. 141–146, March, 1999.
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Vaal', V.A., Koshkin, G.M. Nonparametric estimation of the hazard rate function and its derivative. Russ Phys J 42, 362–366 (1999). https://doi.org/10.1007/BF02508324
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DOI: https://doi.org/10.1007/BF02508324