Kernel Density and Hazard Rate Estimation for Censored Dependent Data

Zongwu Cai ()

Journal of Multivariate Analysis, 1998, vol. 67, issue 1, 23-34

Abstract: In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common marginal distribution function having a density, and the nonparametric estimation of density and hazard rate under random censorship is of our interest. In this paper, we establish the asymptotic normality and the uniform consistency (with rates) of the kernel estimators for density and hazard function under a censored dependent model. A numerical study elucidates the behavior of the estimators for moderately large sample sizes.

Keywords: [alpha]-mixing; asymptotic; normality; censoring; convergence; rate; density; function; hazard; rate; kernel; estimation (search for similar items in EconPapers)
Date: 1998
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Citations: View citations in EconPapers (10)

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