A Central Limit Theorem for a Nonparametric Maximum Conditional Hazard Rate Estimator in Presence of Right Censoring

Kossi Essona Gneyou

Abstract


In this paper, we consider a non-parametric kernel type estimator of the time where a  hazard rate function is maximum in the presence of covariate and right censoring. Via a strong representation of the estimator, we establish weak convergence and asymptotic normality results.


Full Text: PDF DOI: 10.5539/ijsp.v2n3p110

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International Journal of Statistics and Probability   ISSN 1927-7032(Print)   ISSN 1927-7040(Online)

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