stat0057.LangholzKronmal {PoweR} | R Documentation |
The Langholz-Kronmal test for the Laplace distribution
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.