Corpus ID: 119042061

A Comparison on the Empirical Power of Some Normality Tests

@inproceedings{Kim2006ACO,
  title={A Comparison on the Empirical Power of Some Normality Tests},
  author={Dae-Hak Kim and Jun Hyeok Eom and H. Jeong},
  year={2006}
}
In many cases, we frequently get a desired information based on the appropriate statistical analysis of collected data sets. Lots of statistical theory rely on the assumption of the normality of the data. In this paper, we compare the empirical power of some normality tests including sample entropy quantity. Monte carlo simulation is conducted for the calculation of empirical power of considered normality tests by varying sample sizes for various distributions. 
2 Citations

References

SHOWING 1-8 OF 8 REFERENCES
A Test for Normality Based on Sample Entropy
  • 482
  • Highly Influential
EDF Statistics for Goodness of Fit and Some Comparisons
  • 2,545
Estimate of deviation between empirical distribution functions in two independent samples
  • (Russian) Bulletin Moscow University,
  • 1939
Anderson–Darling Test for Goodness of Fit
  • 10
THE ANDERSON-DARLING TEST FOR NORMALITY
  • 32