stat0018.BrysHubertStruyf-BonettSeier: The Brys-Hubert-Struyf & Bonett-Seier test for normality

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

Description

The combination test for normality of Brys-Hubert-Struyf & Bonett-Seier is used

- to compute its statistic and p-value by calling function statcompute;

- to compute its power by calling function powcomp.fast or powcomp.easy.

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 Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

Brys, G., Hubert, M. and Struyf, A. (2008), Goodness-of-fit tests based on a robust measure of skewness, Computational Statistics, 23(3), 429–442.

Bonett, D.G. and Seier, E. (2002), A test of normality with high uniform power, Computational Statistics and Data Analysis, 40, 435–445.

See Also

See stat0016.BrysHubertStruyf for the Brys-Hubert-Struyf test. See stat0017.BonettSeier for the Bonett-Seier test. See Normality.tests for other goodness-of-fit tests for normality.

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