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On The Comparison Of Several Goodness Of Fit Tests Under Simple Random Sampling And Ranked Set Sampling
2009
Zenodo
Many works have been carried out to compare the efficiency of several goodness of fit procedures for identifying whether or not a particular distribution could adequately explain a data set. In this paper a study is conducted to investigate the power of several goodness of fit tests such as Kolmogorov Smirnov (KS), Anderson-Darling(AD), Cramer- von- Mises (CV) and a proposed modification of Kolmogorov-Smirnov goodness of fit test which incorporates a variance stabilizing transformation (FKS).
doi:10.5281/zenodo.1072455
fatcat:ps7efjhm4fhznm2fmhozi2mhq4