The 2nd Rayner-Best test for the Laplace distribution

Description

The 2nd Rayner-Best test V_4 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

Rayner, J. C. W. and Best, D. J. (1989), Smooth Tests of Goodness of Fit, Oxford University Press, New York.

See Also

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

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.