An alternative hyper-Poisson distribution

An alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function and recursion formulae for its probabilities, ra...

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Main Authors: C. Satheesh Kumar, B. Unnikrishnan Nair
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3652
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spelling doaj-4a0adaf73bac4769a142cf16934baf4e2020-11-24T22:32:39ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-0172335736910.6092/issn.1973-2201/36523398An alternative hyper-Poisson distributionC. Satheesh Kumar0B. Unnikrishnan Nair1Department of Statistics - University of KeralaDepartment of Statistics - University of KeralaAn alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function and recursion formulae for its probabilities, raw moments and factorial moments. The estimation of the parameters of the distribution by various methods are considered and illustrated using some real life data sets.http://rivista-statistica.unibo.it/article/view/3652
collection DOAJ
language English
format Article
sources DOAJ
author C. Satheesh Kumar
B. Unnikrishnan Nair
spellingShingle C. Satheesh Kumar
B. Unnikrishnan Nair
An alternative hyper-Poisson distribution
Statistica
author_facet C. Satheesh Kumar
B. Unnikrishnan Nair
author_sort C. Satheesh Kumar
title An alternative hyper-Poisson distribution
title_short An alternative hyper-Poisson distribution
title_full An alternative hyper-Poisson distribution
title_fullStr An alternative hyper-Poisson distribution
title_full_unstemmed An alternative hyper-Poisson distribution
title_sort alternative hyper-poisson distribution
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2013-05-01
description An alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function and recursion formulae for its probabilities, raw moments and factorial moments. The estimation of the parameters of the distribution by various methods are considered and illustrated using some real life data sets.
url http://rivista-statistica.unibo.it/article/view/3652
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