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Test for the extreme value and weibull distributions based on normalized spacings

Author

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  • R. A. Lockhart
  • F. O'Reilly
  • M. A. Stephens

Abstract

Discussed in this article are tests for the extreme‐value distribution, or, equivalently, for the two‐parameter Weibull distribution when parameters are unknown and the sample may be censored. The three tests investigated are based on the median, the mean, and the Anderson‐Darling A2 statistic calculated from a set zi of values derived from the spacings of the sample. The median and the mean have previously been discussed by Mann, Scheuer, and Fertig [10] and by Tiku and Singh [14]. Asymptotic distributions and points are given for the test statistics, based on recently developed theory, and power studies are conducted to compare them with each other and with two other statistics suitable for the test. Of the normalized spacings tests, A2 is recommended overall; the mean also gives good power in many situations, but can be nonconsistent.

Suggested Citation

  • R. A. Lockhart & F. O'Reilly & M. A. Stephens, 1986. "Test for the extreme value and weibull distributions based on normalized spacings," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 33(3), pages 413-421, August.
  • Handle: RePEc:wly:navlog:v:33:y:1986:i:3:p:413-421
    DOI: 10.1002/nav.3800330307
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