
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.
skewness, exponential power distribution, gamma generalizada, 31 Colecciones de estadística general / Statistics, Skewness, Bimodality, Sesgo., sesgo, Bimodalidad, Distribución potencia exponencial, Gamma generalizada, bimodalidad, generalized gamma, Statistics, Exponential Power Distribution, Point estimation, Exact distribution theory in statistics, distribución potencia exponencial, Generalized Gamma, HA1-4737, 51 Matemáticas / Mathematics, Generalized \linebreak Gamma, Probability distributions: general theory, bimodality
skewness, exponential power distribution, gamma generalizada, 31 Colecciones de estadística general / Statistics, Skewness, Bimodality, Sesgo., sesgo, Bimodalidad, Distribución potencia exponencial, Gamma generalizada, bimodalidad, generalized gamma, Statistics, Exponential Power Distribution, Point estimation, Exact distribution theory in statistics, distribución potencia exponencial, Generalized Gamma, HA1-4737, 51 Matemáticas / Mathematics, Generalized \linebreak Gamma, Probability distributions: general theory, bimodality
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