A Bimodal Extension of the Generalized Gamma Distribution

A bimodal extension of the generalized gamma distribution is proposed by using a mixing approach. Some distributional properties of the new distribution are investigated. The maximum likelihood (ML) estimators for the parameters of the new distribution are obtained. Real data examples are given to s...

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Veröffentlicht in:	Revista Colombiana de Estadística 2015-07, Vol.38 (2), p.353-370
Hauptverfasser:	Çankaya, Mehmet Niyazi, Bulut, Yakup Murat, Dogru, Fatma Zehra, Arslan, Olcay
Format:	Artikel
Sprache:	eng
Schlagworte:	Bimodality Exponential Power Distribution Generalized \linebreak Gamma Maximum likelihood method Parameter estimation Probability distribution Skewness
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Beschreibung
Zusammenfassung:	A bimodal extension of the generalized gamma distribution is proposed by using a mixing approach. Some distributional properties of the new distribution are investigated. The maximum likelihood (ML) estimators for the parameters of the new distribution are obtained. Real data examples are given to show the strength of the new distribution for modeling data.
ISSN:	0120-1751 2389-8976
DOI:	10.15446/rce.v38n2.51666