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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University of Bologna
2013-05-01
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Series: | Statistica |
Online Access: | http://rivista-statistica.unibo.it/article/view/3652 |
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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 |
work_keys_str_mv |
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