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Asymptotic results for a generalized Po'lya urn with delay and an applications to clinical trials

Irene Crimanldi () and Fabrizio Leisen
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Irene Crimanldi: Department of Mathematics, University of Bologna, Italy
Fabrizio Leisen: Department of Economics, University of Insubria, Italy

Economics and Quantitative Methods from Department of Economics, University of Insubria

Abstract: In this paper a new Po'lya urn model is introduced and studied; in particular, a strong law of large numbers and two central limit theorems are proven. This urn generalizes a model studied in Berti et al. (2004), May et al. (2005) and in Crimaldi (2007) and it has natural applications in clinical trials. Indeed, the model include both delayed and missing (or null) responses. Moreover, a connection with the conditional identity in distribution of Berti et al. (2004) is given.

Pages: 17 pages
Date: 2007-04
New Economics Papers: this item is included in nep-ecm
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https://www.eco.uninsubria.it/RePEc/pdf/QF2007_5.pdf (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:ins:quaeco:qf0705

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