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Una extensión de la distribución Weibull de dos parámetros An Extension of the Two-Parameter Weibull Distribution

Authors: JUAN F. OLIVARES-PACHECO; HÉCTOR C. CORNIDE-REYES; MANUEL MONASTERIO;

Una extensión de la distribución Weibull de dos parámetros An Extension of the Two-Parameter Weibull Distribution

Abstract

En este artículo se presenta una extensión de la distribución Weibull de dos parámetros, con el objetivo de flexibilizar el modelo en términos de la kurtosis. Se estudian las propiedades básicas de la nueva densidad obtenida, así como su función de distribución, momentos, coeficientes de asimetría y kurtosis. Se realizan estudios de simulación para algunos casos particulares, ilustrando la utilidad de la extensión considerada.In this paper, we present an extension of the Two-parameter Weibull distribution to make it even more flexible in terms of its kurtosis coefficient. Properties involving moments and asymmetry and kurtosis indexes are studied. Simulation studies for some cases, illustrating the usefulness of the extension considered, are carried out.

Keywords

Kurtosis, kurtosis, Slash, Statistics, Asymmetry, coeficiente de asimetría, distribución Weibull, HA1-4737, Slash distribution, Weibull distribution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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