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Estudio sobre los efectos del parámetro de suavizado en contrastes no paramétricos para k–muestras

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Author Info
Pablo Martínez-Camblor ()
Abstract

Una de las principales limitaciones de las técnicas de suavizamiento es la necesidad de elegir un parámetro de suavizado o ventana. La influencia de este parámetro sobre los resultados obtenidos obliga a que el uso de estos métodos en inferencia sea delicado, ya que la decisión final puede verse determinada por la elección del parámetro. El objetivo principal de este trabajo es el estudio de algunos algoritmos para el cálculo automático del parámetro ventana en problemas de contrastes de hipótesis para la igualdad de k poblaciones independientes.

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File URL: http://www.ciencias.unal.edu.co/publicaciones/estadistica/rce/V31/v31n2a02Camblor.pdf
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Article provided by REVISTA COLOMBIANA DE ESTADISTICA in its journal Revista Colombiana de Estadística.

Volume (Year): (2008)
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Handle: RePEc:col:000163:005199

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This page was last updated on 2009-12-23.


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