The Kolmogorov-Smirnov test for the Laplace distribution

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Description

The Kolmogorov-Smirnov test for the Laplace distribution 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

Puig, P. and Stephens, M. A. (2000), Tests of fit for the Laplace distribution, with applications, Technometrics, 42, 417–424.

See Also

See package lawstat. See Laplace.tests for other goodness-of-fit tests for the Laplace distribution.

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