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Higher-order expansions and efficiencies of tests based on spacings

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  • Sherzod M. Mirakhmedov
  • S. Rao Jammalamadaka

Abstract

Statistics based on spacings, or the gaps between points, have been widely used in many contexts, primarily in testing goodness of fit. This paper derives Edgeworth-type asymptotic expansions for the sum of functions of s -step spacings where s , the order of spacings, may increase together with the sample size n . When s is fixed, it is known that only the Greenwood test, based on the sum of squares of these spacings, is first-order asymptotically efficient. In contrast, it is shown here that if s goes to infinity, there exist many other tests which are first-order efficient. We introduce and study the second-order efficiency of such tests and show that if s is sufficiently large relative to n , the Greenwood test is no longer second-order efficient. Interestingly, we see that the common phenomenon of first-order efficiency implying second-order efficiency does not hold true in this situation.

Suggested Citation

  • Sherzod M. Mirakhmedov & S. Rao Jammalamadaka, 2013. "Higher-order expansions and efficiencies of tests based on spacings," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 339-359, June.
  • Handle: RePEc:taf:gnstxx:v:25:y:2013:i:2:p:339-359
    DOI: 10.1080/10485252.2012.755530
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    Cited by:

    1. M. Ekström & S. M. Mirakhmedov & S. Rao Jammalamadaka, 2020. "A class of asymptotically efficient estimators based on sample spacings," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 617-636, September.

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