Abstract
In this paper a class of goodness-of-fit tests for the Rayleigh distribution is proposed. The tests are based on a weighted integral involving the empirical Laplace transform. The consistency of the tests as well as their asymptotic distribution under the null hypothesis are investigated. As the decay of the weight function tends to infinity the test statistics approach limit values. In a particular case the resulting limit statistic is related to the first nonzero component of Neyman’s smooth test for this distribution. The new tests are compared with other omnibus tests for the Rayleigh distribution.
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Meintanis, S., Iliopoulos, G. Tests of fit for the Rayleigh distribution based on the empirical Laplace transform. Ann Inst Stat Math 55, 137–151 (2003). https://doi.org/10.1007/BF02530490
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DOI: https://doi.org/10.1007/BF02530490