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Kolmogorov Tests of Normality Based on Some Variants of Polya’s Characterization

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Two variants of Kolmogorov-type U-empirical tests of normality are studied. They are based on variants of famous Polya’s characterization of the normal law. We calculate their local Bahadur efficiency against location, skew, and Lehmann alternatives and conclude that integral tests are usually more efficient.

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References

  1. A. Azzalini, “A class of distributions which includes the normal ones,” Scand. J. Statist., 12, 171–178 (1985).

    MathSciNet  MATH  Google Scholar 

  2. A. Azzalini, with the collaboration of A. Capitanio, The Skew-normal and Related Families, Cambridge Univ. Press, New York (2014).

    MATH  Google Scholar 

  3. R. R. Bahadur, Some Limit Theorems in Statistics, SIAM, Philadelphia (1971).

    Book  MATH  Google Scholar 

  4. A. Durio and Ya. Yu. Nikitin, “Local asymptotic efficiency of some goodness-of-fit tests under skew alternatives,” J. Statist. Plann. Infer., 115, 171–179 (2003).

    Article  MathSciNet  MATH  Google Scholar 

  5. R. Helmers, P. Janssen, and R. Serfling, “Glivenko–Cantelli properties of some generalized empirical DF’s and strong convergence of generalized L-statistics,” Probab. Theory Relat. Fields, 79, 75–93 (1988).

    Article  MathSciNet  MATH  Google Scholar 

  6. A. M. Kagan, Yu. V. Linnik, and C. R. Rao, Characterization Theorems of Mathematical Statistics, Wiley, New York (1973).

    MATH  Google Scholar 

  7. A. V. Kakosyan, L. B. Klebanov, and J. A. Melamed, “Characterization of distributions by the method of intensively monotone operators,” Lect. Notes Math., 1088, Springer, Berlin (1984).

  8. R. G. Laha and E. Lukacs, “On a linear form whose distribution is identical with that of a monomial,” Pacific J. Math., 15, 207–214 (1965).

    Article  MathSciNet  MATH  Google Scholar 

  9. V. V. Litvinova and Ya. Yu. Nikitin, “Two families of tests of normality based on Polya’s characterization and their asymptotic efficiency,” Zap. Nauchn. Semin. POMI, 328, 147–159 (2005).

    MathSciNet  MATH  Google Scholar 

  10. P. Muliere and Ya. Yu. Nikitin, “Scale-invariant test of normality based on Polya’s characterization,” Metron, LX, No. 1–2, 21–33 (2002).

    MathSciNet  MATH  Google Scholar 

  11. Ya. Nikitin, Asymptotic Efficiency of Nonparametric Tests, Cambridge Univ. Press, New York (1995).

    Book  MATH  Google Scholar 

  12. Ya. Yu. Nikitin, “Large deviations of U-empirical Kolmogorov–Smirnov tests, and their efficiency,” J. Nonparam. Statist., 22, 649–668 (2010).

    Article  MathSciNet  MATH  Google Scholar 

  13. G. Polya, “Herleitung des Gauss’schen Fehlergesetzes aus einer Funktionalgleichung,” Math. Zeitschrift, 18, 96–108 (1923).

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to V. V. Litvinova.

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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 441, 2015, pp. 263–273.

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Litvinova, V.V., Nikitin, Y.Y. Kolmogorov Tests of Normality Based on Some Variants of Polya’s Characterization. J Math Sci 219, 782–788 (2016). https://doi.org/10.1007/s10958-016-3146-x

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