Simultaneous Testing For the Goodness of Fit to Two or More Samples

  • Narinder Kumar Department of Statistics, Panjab University, Chandigarh
  • Gobind P. Mehta Department of Statistics, Panjab University, Chandigarh
Keywords: Shift function, distribution free procedure, nonparametric hypothesis

Abstract

In this paper we have considered the problem to test for the simultaneous goodness of fit of an absolutely continuous distribution function to many samples. The proposed
test is seen to have many desirable properties.

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References

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Hochberg, Y. and Tamhane, A. C. (1987): Multiple Comparison Procedures. John Wiley & Sons, NewYork.

Kiefer, J. (1959): K-sample analogue of the Kolmogorov-Smirnov and Cramer von-Mises tests. Annals of Mathematical Statistics, 30, 420–427. http://dx.doi.org/10.1214/aoms/1177706261

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Published
2012-07-02
How to Cite
Narinder Kumar, & Gobind P. Mehta. (2012). Simultaneous Testing For the Goodness of Fit to Two or More Samples. Mathematical Journal of Interdisciplinary Sciences, 1(1), 17-22. Retrieved from https://mjis.chitkara.edu.in/index.php/mjis/article/view/154
Section
Articles