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Revista Colombiana de Estadística
versão impressa ISSN 0120-1751
Resumo
MARTINEZ-CAMBLOR, PABLO; CORRAL, NORBERTO e LOPEZ, TERESA. Cramér-Chernoff Theorem for L1-norm in Kernel Density Estimator for Two Independent Samples. Rev.Colomb.Estad. [online]. 2009, vol.32, n.2, pp.289-299. ISSN 0120-1751.
In this paper a Chernoff type theorem for the L1 distance between kernel estimators from two independent and identically distributed random samples is developed. The harmonic mean is used to correct the distance for inequal sample sizes case. Moreover, the proved result is used to compute the Bahadur slope of a test based on L1 distance and to compare it with the classical nonparametric Mann-Whitney test by using the Bahadur relative efficiency.
Palavras-chave : Kernel estimator; Large deviation; Bahadur slope.