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Testing exponentiality against a class of alternatives which includes the RNBUE distributions based on the empirical laplace transform

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Abstract

A scale-free test for exponentiality is proposed which is consistent within an extended set of models, including, but not limited to, the “renewal new better than used in expectation” (RNBUE) class of life distributions. The limiting null distribution of the test statistics is derived, and the approximate local Bahadur efficiency is calculated for several families of alternatives. Finite-sample properties of the proposed procedures are investigated via simulation. Bibliography: 24 titles.

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References

  1. A. M. Abouammoh, R. Ahmad, and A. Khalique, “On a new better than used classes of life distributions,” Statist. Probab. Lett., 48, 189–194 (2000).

    Article  MATH  MathSciNet  Google Scholar 

  2. I. A. Ahmad and A. R. Mugdadi, “Bounds of moment generating functions of some life distributions,” Statist. Papers, 46, 575–585 (2005).

    MATH  MathSciNet  Google Scholar 

  3. T. W. Anderson and D. A. Darling, “Asymptotic theory of certain ‘goodness-of-fit’ criteria based on stochastic processes,” Ann. Math. Statist., 23, 193–212 (1952).

    MathSciNet  MATH  Google Scholar 

  4. R. R. Bahadur, “Stochastic comparison of tests,” Ann. Math. Stat., 31, 276–295 (1960).

    MathSciNet  MATH  Google Scholar 

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

    MATH  Google Scholar 

  6. R. E. Barlow and F. Proshan, Statistical Theory of Reliability and Life Testing, Silver Spring (1981).

  7. A. Cabaña and A. J. Quiroz, “Using the empirical moment generating function in testing for the Weibull and the type I extreme value distributions,” Test, 14, 417–431 (2005).

    Article  MATH  MathSciNet  Google Scholar 

  8. J. V. Deshpande and S. G. Purohit, Life-Time Data: Statistical Models and Methods, World Scientific Publishers, Singapore (2006).

    Google Scholar 

  9. T. W. Epps, J. Singleton, and L. B. Pulley, “A test of separate families of distributions based on the empirical moment generating function,” Biometrika, 69, 391–399 (1982).

    Article  MATH  MathSciNet  Google Scholar 

  10. N. Henze, “A new flexible class of omnibus tests for exponentiality,” Commun. Statist. Theor. Meth., 22, 115–133 (1993).

    Article  MATH  MathSciNet  Google Scholar 

  11. N. Henze and B. Klar, “Testing exponentiality against the \(\mathcal{L}\)-class of life distributions,” Math. Method. Statist., 10, 232–246 (2001).

    MATH  MathSciNet  Google Scholar 

  12. N. Henze and S. G. Meintanis, “Tests of fit for exponentiality based on the empirical Laplace transform,” Statistics, 36, 147–161 (2002).

    MATH  MathSciNet  Google Scholar 

  13. T. P. Hill and V. Perez-Abreu, “Extreme-value moment goodness-of-fit tests,” Ann. Inst. Statist. Math., 53, 543–551 (2001).

    Article  MATH  MathSciNet  Google Scholar 

  14. B. Klar, “On a test for exponentiality against Laplace order dominance,” Statistics, 37, 505–515 (2003).

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  16. A. Luong and M. E. Thompson, “Minimum-distance methods based on quadratic distances for transforms,” Canad. J. Statist., 15, 239–251 (1987).

    Article  MATH  MathSciNet  Google Scholar 

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

  18. 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. Stat. Soc., 5, 163–175 (1996).

    Article  MATH  Google Scholar 

  19. R. H. Randles, “On the asymptotic normality of statistics with estimated parameters,” Ann. Statist., 10, 462–474 (1982).

    MATH  MathSciNet  Google Scholar 

  20. J. S. Rao and E. Taufer, “Testing exponentiality by comparing the empirical distribution function of the normalized spacings with that of the original data,” J. Nonparam. Statist., 15, 719–729 (2003).

    Article  MATH  Google Scholar 

  21. M. Shaked and J. G. Shanthikumar, Stochastic Orders and Their Applications, Academic Press (1994).

  22. G. R. Shorack, “The best test of exponentiality against gamma alternatives,” Amer. Stat. Ass., 67, 213–214 (1972).

    Article  MATH  MathSciNet  Google Scholar 

  23. J. J. Spinelli and M. A. Stephens, “Tests for exponentiality when origin and scale parameters are unknown,” Technometrics, 29, 471–476 (1987).

    Article  MathSciNet  Google Scholar 

  24. A. V. Tchirina, “Bahadur efficiency and local optimality of a test for exponentiality based on the Moran statistics,” J. Math. Sci., 127, 1812–1819 (2005).

    Article  MathSciNet  Google Scholar 

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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 339, 2006, pp. 63–77.

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Meintanis, S.G., Nikitin, Y.Y. & Tchirina, A.V. Testing exponentiality against a class of alternatives which includes the RNBUE distributions based on the empirical laplace transform. J Math Sci 145, 4871–4879 (2007). https://doi.org/10.1007/s10958-007-0321-0

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  • DOI: https://doi.org/10.1007/s10958-007-0321-0

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