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Hypothesis Testing for New Scores in a Linear Model

  • Park, Young-Hun (Department of Information and Statistics, Hanshin University)
  • Published : 2003.12.01

Abstract

In this paper we introduced a new score generating function for the rank dispersion function in a general linear model. Based on the new score function, we derived the null asymptotic theory of the rank-based hypothesis testing in a linear model. In essence we showed that several rank test statistics, which are primarily focused on our new score generating function and new dispersion function, are mainly distribution free and asymptotically converges to a chi-square distribution.

Keywords

References

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