Comparison of Several Univariate Normality Tests Regarding Type I Error Rate and Power of the Test in Simulation based Small Samples

By S. Keskin. 2006

63 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/20edec6a17097e4aa138a98568add0a16768aeb0

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1. Nornadiah binti Mohd Razali
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5. Lorentz Jäntschi
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Citations in the corpus

• Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests (2011, result): “In general, it can be concluded that among the four tests considered, Shapiro-Wilk test is the most powerful test for all types of distribution and sample sizes whereas Kolmogorov-Smirnov test is the least powerful test. However, the power of Shapiro-Wilk test is still low for small sample size. The”