a bimodal extension of the generalized gamma distribution
Abstract
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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ID:
153775
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0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
153775
Unique Identifier:
10.15446/rce.v38n2.51666
Network:
Scimatic Chain (ID: 481)
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