PoweR (version 1.0.7)

law0033.Nout: The Normal with outliers Distribution

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.

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

# NOT RUN {
res <- gensample(33,10000,law.pars=4)
res$law
res$law.pars
mean(res$sample)
sd(res$sample)
# }