A Central Limit Theorem for a Nonparametric Maximum Conditional Hazard Rate Estimator in Presence of Right Censoring
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.
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PDFDOI: https://doi.org/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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