Alternative Tests for the Poisson Distribution
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 Pois...
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Science Faculty of Chiang Mai University
2019
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th-cmuir.6653943832-661482019-08-21T09:18:22Z Alternative Tests for the Poisson Distribution Manad Khamkong Pachitjianut Siripanich Coefficient of variation Goodness of fit test Index of dispersion Skewness 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. 2019-08-21T09:18:22Z 2019-08-21T09:18:22Z 2015 Chiang Mai Journal of Science 42, 3 (July 2015), 774 - 782 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5946 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66148 Eng Science Faculty of Chiang Mai University |
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Coefficient of variation Goodness of fit test Index of dispersion Skewness Manad Khamkong Pachitjianut Siripanich Alternative Tests for the Poisson Distribution |
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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. |
author |
Manad Khamkong Pachitjianut Siripanich |
author_facet |
Manad Khamkong Pachitjianut Siripanich |
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Manad Khamkong |
title |
Alternative Tests for the Poisson Distribution |
title_short |
Alternative Tests for the Poisson Distribution |
title_full |
Alternative Tests for the Poisson Distribution |
title_fullStr |
Alternative Tests for the Poisson Distribution |
title_full_unstemmed |
Alternative Tests for the Poisson Distribution |
title_sort |
alternative tests for the poisson distribution |
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Science Faculty of Chiang Mai University |
publishDate |
2019 |
url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5946 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66148 |
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