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Alternative Tests for the Poisson Distribution


Paper Type 
Contributed Paper
Title 
Alternative Tests for the Poisson Distribution
Author 
Manad Khamkong and Pachitjianut Siripanich
Email 
manad.k@cmu.ac.th
Abstract:

 Poisson distribution is well used as a standard model for analyzing count data. Tests based on the index of dispersion (ID) concerning the variance and the mean are not able to discriminate between the Poisson distribution and some others. An alternative method for the test that data comes from Poisson distribution are proposed based on skewness properties, which is the same as  coefficient of variation properties. Monte Carlo studies show that the proposed tests are powerful competitor to the ID tests when alternative distribution is not Poisson but its variance is close to the mean.

Start & End Page 
774 - 782
Received Date 
2013-12-03
Revised Date 
Accepted Date 
2014-02-06
Full Text 
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Keyword 
Coefficient of variation, Goodness of fit test, Index of dispersion, Skewness
Volume 
Vol.42 No.3 (JULY 2015)
DOI 
Citation 
Khamkong M.. and Siripanich P.., Alternative Tests for the Poisson Distribution, Chiang Mai J. Sci., 2015; 42(3): 774-782.
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