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On a Distribution Associated with a Stochastic Process in Ecology

โœ Scribed by K.G. Janardan


Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
258 KB
Volume
44
Category
Article
ISSN
0323-3847

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โœฆ Synopsis


Poisson processes fXรฐtรž; t ! 0g are suitable models for a broad variety of counting processes in Ecology. For example, when analyzing data that apparently came from Poisson population, over-dispersion ยฝi.e. VรฐXรฐtรžรž > EรฐXรฐtรžรž or under-dispersion ยฝi.e. VรฐXรฐtรžรž < EรฐXรฐtรžรž is encountered. This led Consul and Jain (1973), andJanardan andSchaeffer (1977) to consider a generalization of the Poisson distribution called Lagrangian Poisson distribution. Janardan (1980) modified the Poisson process and derived a stochastic model for the number of eggs laid by a parasite on a host. This distribution is very suitable for fitting data with over-(or under-) dispersion. Janardan et al. (1981) considered this stochastic model and applied it to study the variation of the distribution of chromosome aberrations in human and animal cells subject to radiation or chemical insults. Here, we present a new approach for the derivation of this distribution and provide some alternative chance mechanisms for the genesis of the distribution. Moments, moment properties, and some applications are also given.


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