A comparison of various tests of normality
By B. Yazici, Şenay Yolaçan. 2007
343 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/270a5510887d12eb7b0b24791cdf497a8a2d2f6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- R. Delgado
- Chiaw-Hock Sim
- Bee Wah Yap
- Nornadiah binti Mohd Razali
- Aníbal Costa
- X. Romão
- Yap Bee Wah
- Sorana D. Bolboacă
Citations in the corpus
- Comparisons of various types of normality tests (2011, background): “Extensive studies on the Type I error rate and power of these normality tests have been discussed in 1–9 .”
- An empirical power comparison of univariate goodness-of-fit tests for normality (2010, background): “Moreover, power results presented in [37] appear to contradict those resulting from previous studies.”
- Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests (2011, background): “The critical values for each test vary with the sample size (Yazici & Yolacan, 2007).”