Abstract
In this paper we study a class of goodness-of-fit tests for the symmetric stable distribution. The proposed tests are based on a weighted integral involving the empirical characteristic function, corresponding to suitably centered data. The consistency of the tests is investigated under a moment assumption. Also, as the decay of the weight function tends to infinity, limit statistics are obtained. Our method is applied on real and simulated data.
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