law0033.Nout: The Normal with outliers Distribution

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

Description

Random generation for the Normal with outliers distribution with parameter a which belongs to {1,2,3,4,5}.

This generator is called by function gensample to create random variables based on its parameter.

Details

If a is not specified it assumes the default value of 1.

Five cases of standard normal distributions with outliers, hereon termed Nout1 to Nout5, consisting of observations drawn from a standard normal distribution where some of the values are randomly replaced by extreme observations.

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

Romao, X., Delgado, R. and Costa, A. (2010), An empirical power comparison of univariate goodness-of-fit tests for normality, Journal of Statistical Computation and Simulation, 80(5), 545–591.

See Also

See law0002.Normal for the Normal distribution. See Distributions for other standard distributions.

Examples

res <- gensample(33,10000,law.pars=4)
res$law
res$law.pars
mean(res$sample)
sd(res$sample)

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