A family of consistent normally distributed tests for Poissonity

Antonio Di Noia (), Marzia Marcheselli (), Caterina Pisani () and Luca Pratelli ()
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Antonio Di Noia: University of Siena
Marzia Marcheselli: University of Siena
Caterina Pisani: University of Siena
Luca Pratelli: Naval Academy

AStA Advances in Statistical Analysis, 2024, vol. 108, issue 1, No 8, 209-223

Abstract: Abstract A family of consistent tests, derived from a characterization of the probability generating function, is proposed for assessing Poissonity against a wide class of count distributions, which includes some of the most frequently adopted alternatives to the Poisson distribution. Actually, the family of test statistics is based on the difference between the plug-in estimator of the Poisson cumulative distribution function and the empirical cumulative distribution function. The test statistics have an intuitive and simple form and are asymptotically normally distributed, allowing a straightforward implementation of the test. The finite sample properties of the test are investigated by means of an extensive simulation study. The test shows satisfactory behaviour compared to other tests with known limit distribution.

Keywords: Asymptotics; Consistent test; Normal distribution; Poissonity; Probability generating function; 62G10; 62G20; 62E10 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10182-023-00478-8

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