K Nearest Neighbors Estimation of the Conditional Hazard Function for Functional Data
| Autor: | Kadi Attouch, Mohammed, Zohra Belabed, Fatima |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| DOI: | 10.57805/revstat.v12i3.154 |
| Popis: | In this paper, we study the nonparametric estimator of the conditional hazard function using the k nearest neighbors (k-NN) estimation method for a scalar response variable given a random variable taking values in a semi-metric space. We give the almost complete convergence (its corresponding rate) of this estimator and we establish the asymptotic normality. Then the effectiveness of this method is exhibited by a comparison with the kernel method estimation given in Ferraty et al. ([12]) and Laksaci and Mechab ([15]) in both cases simulated data and real data. REVSTAT-Statistical Journal, Vol. 12 No. 3 (2014): REVSTAT-Statistical Journal |
| Databáze: | OpenAIRE |
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