International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Issue 5, Part A

A monte Carlo comparison of normality tests based on entropy estimators


Author(s): Mbanefo S Madukaife

Abstract: In this paper, seven tests for normality of datasets that are based on entropy estimators are presented. The type-I-error rates and the powers of the statistics are compared through extensive simulation studies at a sample size of n = 10. The alternative distributions used in the comparative study are categorized into 5 according to symmetry and support. It is discovered that all the tests considered have good control over type-I-error and that no test is universally the best among them.

Pages: 40-46 | Views: 132 | Downloads: 16

Download Full Article: Click Here
How to cite this article:
Mbanefo S Madukaife. A monte Carlo comparison of normality tests based on entropy estimators. Int J Stat Appl Math 2023;8(5):40-46.
Related Journal Subscription
International Journal of Statistics and Applied Mathematics

International Journal of Statistics and Applied Mathematics


Call for book chapter
International Journal of Statistics and Applied Mathematics