Cramér-Chernoff Theorem for L1-norm in Kernel Density Estimator for Two Independent Samples
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 Bahadu...
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| Publicat a: | Revista Colombiana de Estadística |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Universidad Nacional de Colombia
2009
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| Matèries: | |
| Accés en línia: | https://www.redalyc.org/articulo.oa?id=89912259007 |
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