Makale detayı · 2007
A comparison of various tests of normality
- Yıl
- 2007
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Journal of Statistical Computation and Simulation
- Katalog eşleşmesi (ISSN) Journal of Statistical Computation and Simulation
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
This article studies twelve different normality tests that are used for assessing the assumption that a sample was drawn from a normally distributed population and compares their powers. The tests in question are chi-square, Kolmogorov–Smirnov, Anderson–Darling, Kuiper, Shapiro–Wilk, Ajne, modified Ajne, modified Kuiper, D’Agostino, modified Kolmogorov–Smirnov, Vasicek, and Jarque–Bera. Each test is described and power comparisons are also obtained by using Monte Carlo computations. To do this, first, normally distributed populations with different standard deviations are taken and then simulation is conducted for nonnormal populations. The results are discussed and interpreted separately.
Konular
Atıflar
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358 atıf
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