The multivariate negative binomial-Lindley distribution. Properties and new representation for the univariate case

DOI10.1016/j.cam.2018.07.041zbMath1401.60021OpenAlexW2885793850WikidataQ129383269 ScholiaQ129383269MaRDI QIDQ1631414

Emilio Gómez-Déniz, Enrique Calderín Ojeda

Publication date: 6 December 2018

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2018.07.041

zbMATH Keywords

mixtureEM algorithmnegative binomial distributioninsuranceLindley distributionhealth services

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) Probability distributions: general theory (60E05)

Related Items (2)

The multivariate mixed negative binomial regression model with an application to insurance a posteriori ratemaking ⋮ The negative binomial-inverse Gaussian regression model with an application to insurance ratemaking

Cites Work

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• An extension of the discrete Lindley distribution with applications
• Another generalization of the geometric distribution
• Lindley distribution and its application
• Power Lindley distribution and associated inference
• The Log-Lindley distribution as an alternative to the beta regression model with applications in insurance
• Mixed Poisson Distributions
• Negative Binomial-Lindley Distribution and Its Application
• Recursions for Convolutions and Compound Distributions with Insurance Applications
• A Primer on Statistical Distributions
• ON CONDITIONS FOR MIXTURES OF INCREASING FAILURE RATE DISTRIBUTIONS TO HAVE AN INCREASING FAILURE RATE
• The modality of some compound Poisson distributions

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