Random generation for the Normal with outliers distribution with parameter
a which belongs to
This generator is called by function
gensample to create random variables based on its parameter.
a is not specified it assumes the default value of 1.
Five cases of standard normal distributions with outliers, hereon termed
consisting of observations drawn from a standard normal distribution where some of the values
are randomly replaced by extreme observations.
P. Lafaye de Micheaux, V. A. Tran
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.
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