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Psychometrika

, Volume 43, Issue 2, pp 203–212 | Cite as

Gapping

  • Howard Wainer
  • Stephen Schacht
Article

Abstract

Tukey's scheme for finding separations in univariate data strings is described and tested. It is found that one can use the size of a data gap coupled with its ordinal position in the distribution to determine the likelihood of its having arisen by chance. It was also shown that this scheme is relatively robust for fatter-tailed-than-Gaussian distributions and has some interesting implications in multidimensional situations.

Key words

robustness power 

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Reference Notes

  1. Tukey, J. W. Personal communication, August, 1977.Google Scholar
  2. Kinderman, A. J., Ramage, J. G. & Monohan, J. F.Computer methods for sampling from students' t distribution (Tech. Rep. 93). Pennsylvania: Carnegie-Mellon University, Department of Statistics, 1975.Google Scholar

References

  1. Andrews, D. F., Bickel, P. J., Hampel, F. R., Huber, P. J., Rogers, W. H., & Tukey, J. W.Robust estimates of location. Princeton, N.J.: Princeton University Press, 1972.Google Scholar
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Copyright information

© Psychometric Society 1978

Authors and Affiliations

  • Howard Wainer
    • 2
  • Stephen Schacht
    • 1
  1. 1.The University of ChicagoUSA
  2. 2.Bureau of Social Science Research, Inc.Washington, D.C.

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