Abstract
Two new tests for exponentiality, of integral- and Kolmogorov-type, are proposed. They are based on a recent characterization and formed using appropriate V-statistics. Their asymptotic properties are examined and their local Bahadur efficiencies against some common alternatives are found. A class of locally optimal alternatives for each test is obtained. The powers of these tests, for some small sample sizes, are compared with different exponentiality tests.
Similar content being viewed by others
References
Ahmad I, Alwasel I (1999) A goodness-of-fit test for exponentiality based on the memoryless property. J R Stat Soc Ser B Stat Methodol 61(3):681–689
Ahsanullah M, Hamedani GG (2010) Exponential distribution: theory and methods. NOVA Science, New York
Angus JE (1982) Goodness-of-fit tests for exponentiality based on a loss-of-memory type functional equation. J Stat Plan Inference 6(3):241–251
Arnold BC, Balakrishnan N, Nagaraja HN (2008) A first course in order statistics. SIAM, Philadelphia
Bahadur RR (1971) Some limit theorems in statistics. SIAM, Philadelphia
Balakrishnan N, Rao CR (1998) Order statistics, theory and methods. Elsevier, Amsterdam
Galambos J, Kotz S (1978) Characterizations of probability distributions. Springer, Berlin
Gomez YM, Bolfarine H, Gomez HW (2014) A new extension of the exponential distribution. Rev C Estad 37(1):25–34
Helmers R, Janssen P, Serfling R (1988) Glivenko–Cantelli properties of some generalized empirical DF’s and strong convergence of generalized L-statistics. Probab Theory Rel Fields 79(1):75–93
Henze N, Meintanis SG (2005) Recent and clasicical tests for exponentiality: a partial review with comparisons. Metrika 61(1):29–45
Hoeffding W (1948) A class of statistics with asymptotically normal distribution. Ann Math Stat 19:293–325
Jevremović V (1991) A note on mixed exponential distribution with negative weights. Stat Probab Lett 11(3):259–265
Korolyuk VS, Borovskikh YV (1994) Theory of \(U\)-statistics. Kluwer, Dordrecht
Koul HL (1977) A test for new better than used. Commun Stat Theory Method 6(6):563–574
Koul HL (1978) Testing for new is better than used in expectation. Commun Stat Theory Method 7(7):685–701
Nadarajah S, Haghighi F (2010) An extension of the exponential distribution. Statistics 45(6):543–558
Nikitin Y (1995) Asymptotic efficiency of nonparametric tests. Cambridge University Press, New York
Nikitin YY (1996) Bahadur efficiency of a test of exponentiality based on a loss of memory type functional equation. J Nonparametr Stat 6(1):13–26
Nikitin Y, Peaucelle I (2004) Efficiency and local optimality of distribution-free tests based on U- and V-statistics. Metron 62(2):185–200
Nikitin YY (2010) Large deviations of \(U\)-empirical Kolmogorov-Smirnov tests, and their efficiency. J Nonparametr Stat 22(5):649–668
Nikitin YY (1984) Local asymptotic bahadur optimality and characterization problems. Theory Probab Appl 29:79–92
Nikitin YY, Ponikarov EV (1999) Rough large deviation asymptotics of Chernoff type for von Mises functionals and \(U\)-statistics. In: Proceedings of the St. Petersburg mathematical society 7:124–167. English translation in AMS Translations ser.2 203, 2001, 107–146
Nikitin YY, Tchirina AV (1996) Bahadur efficiency and local optimality of a test for the exponential distribution based on the Gini statistic. Stat. Methodol Appl 5(1):163–175
Nikitin YY, Volkova KY (2010) Asymptotic efficiency of exponentiality tests based on order statistics characterization. Georgian Math J 17(4):749–763
Obradović M (2015) Three characterizations involving median of sample of size three. J Stat Theory Appl. arXiv:1412.2563v1
Pyke R (1965) Spacings. J R Stat Soc Ser B Stat Methodol 27(3):395–449
Silverman BW (1983) Convergence of a class of empirical distribution functions of dependent random variables. Ann Probab 11:745–751
Volkova KY (2010) On asymptotic efficiency of exponentiality tests based on Rossbergs characterization. J Math Sci (NY) 167(4):486–494
Wieand HS (1976) A condition under which the Pitman and Bahadur approaches to efficiency coincide. Ann Stat 4:1003–1011
Acknowledgments
We would like to thank the Editor and the Referee for their very useful remarks.
Author information
Authors and Affiliations
Corresponding author
Additional information
Research was supported by Ministry of Science of the Republic of Serbia, Grant No. 174012.
Rights and permissions
About this article
Cite this article
Milošević, B. Asymptotic efficiency of new exponentiality tests based on a characterization. Metrika 79, 221–236 (2016). https://doi.org/10.1007/s00184-015-0552-x
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00184-015-0552-x