On a multivariate Lindley distribution |
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Authors: | Mhamed Mesfioui Abdulrahman M Abouammoh |
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Institution: | 1. Département de mathématiques et d’informatique, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada;2. Department of Statistics &3. O. R., College of Science, King Saud University, Riyadh, Saudi Arabia |
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Abstract: | This article proposes a multivariate extension of the generalized Lindley distribution introduced by Abouammoh et al. (2015 Abouammoh, A.M., Alshangiti Arwa, M., Ragab, I.E. (2015). Reliability estimation of the generalized Lindley distributions. J. Stat. Comput. Simul. 85(17):3662–3678.Taylor &; Francis Online], Web of Science ®] , Google Scholar]). The proposed model is based on a probabilistic construction in which several Lindley random variables are connected by a common shock. Many statistical properties of this new distribution are explored. In particular, explicit forms of product moments, moment-generating function, and conditional moments are derived. Explicit expressions of moment-based estimators of the underlying parameters of the proposed model are established. Estimation using the maximum likelihood procedure is also investigated. Simulations attesting to the quality of the proposed estimators are presented. Application of the proposed model in reliability is also discussed. |
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Keywords: | Conditional moments Correlation Dependence Maximum likelihood estimation Method of moment Moment-generating function Shock model |
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