Abstract
We consider composite goodness-of-fit tests for wrapped stable distributions on the circle with unknown parameters, based on the empirical characteristic function. The tests are implemented in particular for testing goodness of fit of the symmetric stable family against general alternatives. An extensive Monte Carlo study is carried out by using the parametric bootstrap in order to compare the new tests with other existing omnibus tests for goodness of fit, which demonstrates that the tests proposed here perform better against a large variety of alternatives. We then illustrate our methods by applying the tests to a real data set.
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Acknowledgements
The authors would like to thank the Editors of this Volume for making us part of the celebration of Prof. C.R. Rao’s Centenary, and the two reviewers for helping us make the paper more readable.
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Meintanis, S.G., Jammalamadaka, S.R., Jin, Q. (2021). Tests of Fit for Wrapped Stable Distributions Based on the Characteristic Function. In: Arnold, B.C., Balakrishnan, N., Coelho, C.A. (eds) Methodology and Applications of Statistics. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-83670-2_18
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DOI: https://doi.org/10.1007/978-3-030-83670-2_18
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