stat0041.Spiegelhalter: The Spiegelhalter test for normality

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

Description

The Spiegelhalter 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

Spiegelhalter, D.J. (1977), A test for normality against symmetric alternatives, Biometrika, 64(2), 415–418.

See Also

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

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