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On a Birnbaum-Saunders distribution arising from a non-homogeneous Poisson process

Academic Article
Publication Date:
2013
abstract:
The Birnbaum Saunders distribution is based on the asymptotic normality of a sum of random variables. We propose a new version of this distribution assuming that the number of terms of such a sum depends on a non-homogeneous Poisson process. The classical Birnbaum Saunders distribution is obtained when a homogeneous Poisson process is considered.
Iris type:
01.01 Articolo in rivista
Keywords:
Central limit theorem; Convergence in distribution; Poisson process
List of contributors:
Ruggeri, Fabrizio
Handle:
https://iris.cnr.it/handle/20.500.14243/222957
Published in:
STATISTICS & PROBABILITY LETTERS
Journal
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URL

http://www.sciencedirect.com/science/article/pii/S0167715212004774
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