Some Nonparametric Tests of Whether the Largest Observations of a Set Are Too Large or Too Small.

J. E. Walsh

Expert InsightsPublished 1950

A presentation of some nonparametric tests of whether the [r] largest observations of the set are too large or too small to be consistent with the hypothesis that these populations have a common median value. The observations are statistically independent and are drawn from continuous symmetrical population. (Published in The Annals of Mathematical Statistics, Dec. 1950)

Document Details

  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1950
  • Pages: 8
  • Document Number: P-61

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Walsh, J. E., Some Nonparametric Tests of Whether the Largest Observations of a Set Are Too Large or Too Small. Santa Monica, CA: RAND Corporation, 1950. https://www.rand.org/pubs/papers/P61.html.
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