Skip to main content
Log in

Lilliefors test for exponentiality: Large deviations, asymptotic efficiency, and conditions of local optimality

  • Published:
Mathematical Methods of Statistics Aims and scope Submit manuscript

Abstract

We study large deviations and Bahadur efficiency of the Lilliefors statistic for testing of exponentiality. This statistic belongs to the class of Kolmogorov-Smirnov type statistics with estimated parameters. Large deviation asymptotics of such statistic is found for the first time. We show that the test has relatively high local efficiency and construct the alternative for which it is locally optimal.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. I. G. Abrahamson, “Exact Bahadur efficiencies for the Kolmogorov-Smirnov and Kuiper one-and two-sample statistics”, Ann. Math. Stat. 38(5), 1475–1490 (1967).

    MathSciNet  Google Scholar 

  2. M. A. Arcones “On the Bahadur slope of the Lilliefors and the Cramér-von Mises tests of normality”, in High-Dimensional Probability IV, IMS Lecture Notes — Monograph Series (2006), Vol. 51, pp. 196–206.

    Google Scholar 

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

    MATH  Google Scholar 

  4. R. D’Agostino and M. Stephens, Goodness-of-fit Techniques (Marcel Dekker Inc., New York, 1986).

    MATH  Google Scholar 

  5. K. A. Doksum and B. S. Yandell (1984), “Tests of exponentiality,” in Handbook of Statistics (North-Holland, 1984), Vol. 4, No. 2, pp. 579–612.

    MathSciNet  Google Scholar 

  6. J. Durbin, “Kolmogorov-Smirnov tests when parameters are estimated with applications to tests to exponentiality and tests on spacings”, Biometrika 62, 5–22 (1975).

    Article  MATH  MathSciNet  Google Scholar 

  7. P. W. Gwanyama, “K-S test for goodness of fit and waiting times for fatal plane accidents”, Intern. J. Math. Education in Sci. and Technol. 36(4), 333–343 (2005).

    MathSciNet  Google Scholar 

  8. H. Lilliefors, “On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown”, J. Amer. Statist. Assoc. 64, 387–389 (1969).

    Article  Google Scholar 

  9. A. L. Mason and C. B. Bell, “New Lilliefors and Srinivasan tables with applications”, Comm. Statist., Simulation Comput. 15, 451–477 (1986).

    MATH  MathSciNet  Google Scholar 

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

    MATH  Google Scholar 

  11. Ya. Yu. Nikitin and A. V. Tchirina, “Bahadur efficiency and local optimality of a test for the exponential distribution based on the Gini statistic”, J. Ital. Statist. Soc. 5(1), 163–175 (1996).

    Article  Google Scholar 

  12. D. Plachky and J. Steinebach, “A theorem about probabilities of large deviations with an application to queuing theory”, Periodica Mathematica Hungarica 6(4), 343–345 (1975).

    Article  MATH  MathSciNet  Google Scholar 

  13. J. S. Rao and J. Sethuraman, “Weak convergence of empirical distribution functions of random variables subject to perturbations and scale factors”, Ann. Statist. 3(2), 299–313 (1975).

    MATH  MathSciNet  Google Scholar 

  14. A. V. Tchirina, “Large deviations for a class of scale-free statistics under the gamma distribution”, J. Math. Sciences 128(1), 2640–2655 (2005).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Nikitin, Y.Y., Tchirina, A.V. Lilliefors test for exponentiality: Large deviations, asymptotic efficiency, and conditions of local optimality. Math. Meth. Stat. 16, 16–24 (2007). https://doi.org/10.3103/S1066530707010024

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1066530707010024

Key words

2000 Mathematics Subject Classification

Navigation