Transform methods for testing the negative binomial hypothesis

Simos G. Meintanis
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Simos G. Meintanis: Department of Economics National and Kapodistrian University of Athens

Statistica, 2005, vol. 65, issue 3, 293-300

Abstract: We employ the empirical probability generating function in constructing a goodness-of-fit test for negative binomial distributions. The proposed tests, which are formed as weighted integrals, are shown to be consistent and their asymptotic null distribution is investigated. As the decay of the weight function tends to infinity, limit statistics are obtained. A small simulation study is presented.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:65:y:2005:i:3:p:293-300

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