Normality.tests: Goodness-of-fit tests for normality.

In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description

List of goodness-of-fit tests for normality.

Details

The statistic tests for normality are named in the form statxxxx.

For the Lilliefors statistic see stat0001.Lilliefors.

For the Anderson-Darling statistic see stat0002.AndersonDarling.

For the 1st Zhang-Wu statistic see stat0003.ZhangWu1.

For the 2nd Zhang-Wu statistic see stat0004.ZhangWu2.

For the Glen-Leemis-Barr statistic see stat0005.GlenLeemisBarr.

For the D'Agostino-Pearson statistic see stat0006.DAgostinoPearson.

For the Jarque-Bera statistic see stat0007.JarqueBera.

For the Doornik-Hansen statistic see stat0008.DoornikHansen.

For the Gel-Gastwirth statistic see stat0009.GelGastwirth.

For the 1st Hosking statistic see stat0010.Hosking1.

For the 2nd Hosking statistic see stat0011.Hosking2.

For the 3rd Hosking statistic see stat0012.Hosking3.

For the 4th Hosking statistic see stat0013.Hosking4.

For the 1st Bontemps-Meddahi statistic see stat0014.BontempsMeddahi1.

For the 2nd Bontemps-Meddahi statistic see stat0015.BontempsMeddahi2.

For the Brys-Hubert-Struyf statistic see stat0016.BrysHubertStruyf.

For the Bonett-Seier statistic see stat0017.BonettSeier.

For the Brys-Hubert-Struyf & Bonett-Seier statistic see stat0018.BrysHubertStruyf-BonettSeier.

For the 1st Cabana-Cabana statistic see stat0019.CabanaCabana1.

For the 2nd Cabana-Cabana statistic see stat0020.CabanaCabana2.

For the Shapiro-Wilk statistic see stat0021.ShapiroWilk.

For the Shapiro-Francia statistic see stat0022.ShapiroFrancia.

For the Shapiro-Wilk statistic modified by Rahman-Govindarajulu see stat0023.ShapiroWilk-RG.

For the D'Agostino statistic see stat0024.DAgostino.

For the Filliben statistic see stat0025.Filliben.

For the Chen-Shapiro statistic see stat0026.ChenShapiro.

For the 1st Zhang statistic see stat0027.ZhangQ.

For the 2nd Zhang statistic see stat0034.ZhangQstar.

For the 3rd Zhang statistic see stat0028.ZhangQQstar.

For the Barrio-Cuesta-Matran-Rodriguez statistic see stat0029.BarrioCuestaMatranRodriguez.

For the Coin statistic see stat0030.Coin.

For the Epps-Pulley statistic see stat0031.EppsPulley.

For the Martinez-Iglewicz statistic see stat0032.MartinezIglewicz.

For the Gel-Miao-Gastwirth statistic see stat0033.GelMiaoGastwirth.

For the Desgagne-LafayeDeMicheaux-Leblanc statistic see stat0035.DesgagneLafayeDeMicheauxLeblanc-Rn.

For the new CS Desgagne-LafayeDeMicheaux statistic see stat0036.DesgagneLafayeDeMicheaux-XAPD.

For the new CS Desgagne-LafayeDeMicheaux statistic see stat0037.DesgagneLafayeDeMicheaux-ZEPD.

For the Spiegelhalter statistic see stat0041.Spiegelhalter.

Author(s)

P. Lafaye de Micheaux, V. A. Tran

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

See Also

See Laplace.tests for goodness-of-fit tests for the Laplace distribution. See Uniformity.tests for goodness-of-fit tests for uniformity.

PoweR documentation built on May 2, 2019, 2:09 p.m.