stat0057.LangholzKronmal: The Langholz-Kronmal test for the Laplace distribution

Description Author(s) References See Also

Description

The Langholz-Kronmal 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

Langholz, B. and Kronmal, R. A. (1991), Tests of distributional hypotheses with nuisance parameters using Fourier series, Journal of the American Statistical Association, 86, 1077–1084.

See Also

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


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