Identifiability of Compound Poisson Distributions
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations where a simple Poisson model is found inadequate to describe. In this paper an attempt is made to identify compound Poisson distributions when it is known that the conditional distribution of two random variables (r.v.'s) is compound binomial. Some interesting special cases and their application to accident theory are discussed.
|Date of creation:||1983|
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- Panaretos, John & Xekalaki, Evdokia, 1986.
"The stuttering generalized waring distribution,"
Statistics & Probability Letters,
Elsevier, vol. 4(6), pages 313-318, October.
- J. Panaretos, 1982.
"An extension of the damage model,"
Metrika: International Journal for Theoretical and Applied Statistics,
Springer, vol. 29(1), pages 189-194, December.
- Panaretos, John, 1981. "On the Relationship between the Conditional and Unconditional Distribution of a Random Variable," MPRA Paper 6228, University Library of Munich, Germany.
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