stat0038.DesgagneMicheaux-C: The C Desgagne-Micheaux test for normality

Description Author(s) References See Also

Description

The C Desgagne-Micheaux test for normality is used

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

- to compute its quantiles by calling function compquant or many.crit;

- 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

Desgagne, A., Lafaye de Micheaux, P. (2009), P-kurtosis and goodness-of-fit tests for normality, unpublished document.

See Also

See Normality.tests for other goodness-of-fit tests for normality.


PoweR documentation built on May 30, 2017, 2:10 a.m.

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