On convergence rates for quadratic errors in kernel hazard estimation

Graciela Estévez-Pérez

Statistics & Probability Letters, 2002, vol. 57, issue 3, 231-241

Abstract: Vieu (J. Multivariate Anal. 39 (1991) 324) showed that the quadratic errors for kernel estimates of several curves (including distribution and hazard functions) are asymptotically equivalent under strong mixing conditions. In this paper, the convergence rates of the distances between these quadratic errors are investigated in the particular case of the distribution and hazard functions.

Keywords: Kernel; estimation; Hazard; and; distribution; functions; Quadratic; errors; Mixing; processes (search for similar items in EconPapers)
Date: 2002
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