Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/95302 
Year of Publication: 
2009
Series/Report no.: 
Quaderni di Dipartimento No. 106
Publisher: 
Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ), Pavia
Abstract: 
An urn contains balls of d >= 2 colors. At each time n >= 1, a ball is drawn and then replaced together with a random number of balls of the same color. Let An =diag (An,1, . . . ,An,d) be the n-th reinforce matrix. Assuming EAn,j = EAn,1 for all n and j, a few CLT’s are available for such urns. In real problems, however, it is more reasonable to assume EAn,j = EAn,1 whenever n >= 1 and 1 <= j <= d0, liminf EAn,1 > limsup EAn,j whenever j > d0, for some integer 1 <= d0 <= d. Under this condition, the usual weak limit theorems may fail, but it is still possible to prove CLT’s for some slightly different random quantities. These random quantities are obtained neglecting dominated colors, i.e., colors from d0 + 1 to d, and allow the same inference on the urn structure. The sequence (An : n >= 1) is independent but need not be identically distributed. Some statistical applications are given as well.
Subjects: 
Central limit theorem
Clinical trials
Random probability measure
Stable convergence
Urn model
Document Type: 
Working Paper

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