A simulation study to compare the power of normality tests

A common assumption of many statistical procedures during data analysis is that the data is normally distributed. Several statistical tests have been developed for the determination of the validity of this assumption. Now, the question is: which is the most powerful? We performed an extensive Monte...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Erdélyi Péter
Rajkó Róbert
Testületi szerző: International Symposium on Analytical and Environmental Problems (23.) (2017) (Szeged)
Dokumentumtípus: Könyv része
Megjelent: 2017
Sorozat:Proceedings of the International Symposium on Analytical and Environmental Problems 23
Kulcsszavak:Statisztikai hipotézisvizsgálat
Online Access:http://acta.bibl.u-szeged.hu/56237
Leíró adatok
Tartalmi kivonat:A common assumption of many statistical procedures during data analysis is that the data is normally distributed. Several statistical tests have been developed for the determination of the validity of this assumption. Now, the question is: which is the most powerful? We performed an extensive Monte Carlo simulation study to answer this question. We found that compared to six other tests, the Shapiro–Wilk test performs the best under most conditions.
Terjedelem/Fizikai jellemzők:397-400
ISBN:978-963-306-563-1