Comprehensive study of tests for normality and symmetry: extending the Spiegelhalter test

By P. Farrell, Katrina Rogers-Stewart. 2006

126 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/25b6b31906f7a24db85cc4b9b961f689634a975b

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

1. R. Delgado
2. Y. P. Li
3. Y. Fan
4. G. H. Huang
5. Nornadiah binti Mohd Razali
6. Aníbal Costa
7. X. Romão
8. Xiang-Ming Kong

Citations in the corpus

• An empirical power comparison of univariate goodness-of-fit tests for normality (2010, background): “[35,37], do not include several interesting and more recently developed tests.”
• Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China (2015, background): “It can examine whether the sample data is drawn from a specific distribution (Scholz and Stephens 1987; Farrel and Stewart 2006).”
• Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests (2011, background): “It differs from the CVM test in such a way that it gives more weight to the tails of the distribution (Farrel & Stewart, 2006).”