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Scanning N Uniform Distributed Points: Bounds

  • Joseph Glaz
  • Joseph Naus
  • Sylvan Wallenstein
Part of the Springer Series in Statistics book series (SSS)

Abstract

In the study of bounds for scan statistic probabilities two methods have been employed. The first method utilizes the scanning process representation of the scan statistic that has been discussed in Naus (1982), Wallenstein (1980), and Wallenstein and Neff (1987). The second method is based on the order statistics representation of the scan statistics investigated in Berman and Eagleson (1985), Gates and Westcott (1984), Glaz (1989, 1992), and Krauth (1988). The class of inequalities that we will present here is known in the statistical literature as Bonferroni-type inequalities. For a thorough treatment of these inequalities and many interesting references and applications, see a recent book by Galambos and Simonelli (1996). The Bonferroni-type inequalities that we will use for developing bounds for scan statistic probabilities are usually tigher than the classical Bonferroni inequalities introduced in Bonferroni (1936). Therefore, the classical Bonferroni inequalities will not be discussed here.

Keywords

Order Statistic Statistical Literature Tractable Class Uniform Spacing Cell Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Joseph Glaz
    • 1
  • Joseph Naus
    • 2
  • Sylvan Wallenstein
    • 3
  1. 1.Department of Statistics The College of Liberal Arts and SciencesUniversity of ConnecticutStorrsUSA
  2. 2.Department of Statistics RutgersThe State University of New JerseyPiscatawayUSA
  3. 3.Department of Biomathematical SciencesMount Sinai School of MedicineNew YorkUSA

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