A Bimodal Extension of the Generalized Gamma Distribution

• MEHMET NIYAZI \C{C}ANKAYA ^[1] ; YAKUP MURAT BULUT ^[2] ; FATMA ZEHRA DO\V{G}RU ^[1] ; OLCAY ARSLAN ^[1]
  1. [1] Ankara University

     Ankara University

     Turquía

     
  2. [2] Osmangazi University Faculty of Science and Letters Department of Statistics
• Localización: Revista Colombiana de Estadística, ISSN-e 2389-8976, ISSN 0120-1751, Vol. 38, Nº. 2, 2015, págs. 371-384
• Idioma: inglés
• DOI: 10.15446/rce.v38n2.51666
• Títulos paralelos:
  • Una extensión bimodal de la distribución gamma generalizada
• Enlaces
  • Texto completo
• Resumen
  • español

    Una extensión bimodal de la distribución gamma generalizada es propuesta a través de un enfoque de mixturas. Algunas propiedades de la nueva distribución son investigadas. Los estimadores máximo verosímiles (ML por sus siglas en inglés) de los parámetros de la nueva distribución son obtenidos. Algunos ejemplos con datos reales son utilizados con el fin de mostrar las fortalezas de la nueva distribución en la modelación de datos.

  • English

    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.

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