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• W2808665370 abstract "We exploit a suitable moment-based characterization of the mixture of Poisson distribution for developing Bayesian inference for the unknown size of a finite population whose units are subject to multiple occurrences during an enumeration sampling stage. This is a particularly challenging setting for which many other attempts have been made for inferring the unknown characteristics of the population. Here we put particular emphasis on the construction of a default prior elicitation of the characteristics of the mixing distribution. We assess the comparative performance of our approach in real data applications and in a simulation study." @default.
• W2808665370 created "2018-06-21" @default.
• W2808665370 creator A5060965051 @default.
• W2808665370 creator A5066536122 @default.
• W2808665370 date "2018-06-18" @default.
• W2808665370 modified "2023-09-27" @default.
• W2808665370 title "Moment-based Bayesian Poisson Mixtures for inferring unobserved units" @default.
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• W2808665370 hasPublicationYear "2018" @default.
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