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Weighted quantile correlation test for the logistic family

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Abstract

We summarize the results of investigating the asymptotic behavior of the weighted quantile correlation tests for the location-scale family associated to the logistic distribution. Explicit representations of the limiting distribution are given in terms of integrals of weighted Brownian bridges or alternatively as infinite series of independent Gaussian random variables. The power of this test and the test for the location logistic family against some alternatives are demonstrated by numerical simulations.

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References

  1. M. Abramowitz and I. A. Stegun, Handbook of mathematical functions with formulas, graphs, and mathematical tables, National Bureau of Standards Applied Mathematics Series, vol. 55, For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C., 1964.

  2. N. Aguirre and M. Nikulin, Goodness-of-fit test for the family of logistic distributions, Questiio (2), 18 (1995), 317–335.

    MathSciNet  MATH  Google Scholar 

  3. T. W. Anderson and D. A. Darling, Asymptotic theory of certain “goodness of fit” criteria based on stochastic processes, Ann. Math. Statistics, 23 (1952), 193–212.

    Article  MathSciNet  Google Scholar 

  4. R. B. Ash and M. F. Gardner, Topics in stochastic processes, Probability and Mathematical Statistics, Vol. 27, Academic Press [Harcourt Brace Jovanovich Publishers], New York, 1975.

  5. N. Balakrishnan, Handbook of the logistic distribution, Statist. Textbooks Monogr. 123, Dekker, New York, 1992.

  6. S. Csorg/"o, Weighted correlation tests for scale families, Test, 11 (2002), 219–248.

    Article  MathSciNet  Google Scholar 

  7. S. Csorg/"o, Weighted correlation tests for location-scale families, Math. Comput. Modelling, 38 (2003), 753–762.

    Article  MathSciNet  Google Scholar 

  8. S. Csorg/"o and T. Szabó, Weighted correlation tests for gamma and lognormal families, Tatra Mt. Math. Publ., 26 (2003), 337–356.

    MathSciNet  MATH  Google Scholar 

  9. S. Csorg/"o and T. Szabó, Weighted quantile correlation tests for Gumbel, Weibull and Pareto families, Probab. Math. Statist., 29 (2009), 227–250.

    MathSciNet  MATH  Google Scholar 

  10. T. de Wet, Discussion of “contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests”, Test, 9 (2000), 74–79.

    Google Scholar 

  11. T. de Wet, Goodness-of-fit tests for location and scale families based on a weighted L2-Wasserstein distance measure, Test, 11 (2002), 89–107.

    Article  MathSciNet  Google Scholar 

  12. T. de Wet and J. H. Venter, Asymptotic distributions for quadratic forms with applications to tests of fit, Ann. Statist., 1 (1973), 380–387.

    Article  MathSciNet  Google Scholar 

  13. P. Deheuvels and G. Martynov, Karhunen-Loeve expansions for weighted Wiener processes and Brownian bridges via Bessel functions, High dimensional probability, III (Sandjberg, 2002), Progr. Probab., 55 (2003), 57–93.

    MATH  Google Scholar 

  14. E. del Barrio, J. A. Cuesta-Albertos and C. Matran, Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests, Test, 9 (2000), 1–96.

    Article  MathSciNet  Google Scholar 

  15. E. del Barrio, J. A. Cuesta-Albertos, C. Matran and J. M. Rodriguez-Rodriguez, Tests of goodness of fit based on the L2-Wasserstein distance, Ann. Statist., 27 (1999), 1230–1239.

    MathSciNet  MATH  Google Scholar 

  16. E. J. Gumbel, Ranges and midranges, Ann. Math. Statistics, 15 (1944), 414–422.

    Article  MathSciNet  Google Scholar 

  17. S. G. Meintanis, Goodness-of-fit tests for the logistic distribution based on empirical transforms, Sankhyā, 66 (2004), 306–326.

    MathSciNet  MATH  Google Scholar 

  18. P.-F. Verhulst, Notice sur la loi que la population poursuit dans son accroissement, Correspondance mathèmatique et physique, 10 (1838), 113–121.

    Google Scholar 

  19. E. T. Whittaker and G. N. Watson, A course of modern analysis. An introduction to the general theory of infinite processes and of analytic functions: with an account of the principal transcendental functions, Fourth edition, Cambridge University Press, New York, 1962.

    MATH  Google Scholar 

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Acknowledgements

The authors are grateful to S. Csörgő for suggesting the problem and to G. Pap for useful comments and suggestions after carefully reading the manuscript.

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Correspondence to Ferenc Balogh or Éva Krauczi.

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Communicated by G. Pap

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Balogh, F., Krauczi, É. Weighted quantile correlation test for the logistic family. ActaSci.Math. 80, 307–326 (2014). https://doi.org/10.14232/actasm-013-809-8

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  • DOI: https://doi.org/10.14232/actasm-013-809-8

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