Extendibility of Marshall-Olkin distributions and inverse Pascal triangles
Document type:
Zeitschriftenaufsatz
Author(s):
Mai, J.-F.; Scherer, M.
Non-TUM Co-author(s):
nein
Cooperation:
-
Abstract:
The class of infinitely extendible Marshall-Olkin distributions is characterized. A d-dimensional random vector (tau_1,...,tau_d)' on (Omega,F,P), following a Marshall-Olkin distribution, is parameterized by 2^d-1 parameters. A criterion on these parameters is given to decide whether or not there exists a sub-sigma-algebra G of F such that the random variables tau_1,...,tau_d are conditionally i.i.d. given G. This result makes use of the solution of the truncated Hausdorff's moment problem and a relation of the Marshall-Olkin distribution with inverse Pascal triangles.
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The class of infinitely extendible Marshall-Olkin distributions is characterized. A d-dimensional random vector (tau_1,...,tau_d)' on (Omega,F,P), following a Marshall-Olkin distribution, is parameterized by 2^d-1 parameters. A criterion on these parameters is given to decide whether or not there exists a sub-sigma-algebra G of F such that the random variables tau_1,...,tau_d are conditionally i.i.d. given G. This result makes use of the solution of the truncated Hausdorff's moment problem and a...
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