stat0049.Meintanis2MO: The 2nd Meintanis test with moment estimators for the Laplace...

Description Details Author(s) References See Also


The 2nd Meintanis test T_{n,a}^{(2)} with moment estimators 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 or powcomp.easy.


If a is not specified it assumes the default value of 0.5.


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

Meintanis, S.G. (2004), A Class of Omnibus Tests for the Laplace Distribution Based on the Empirical Characteristic Function, Communications in Statistics - Theory and Methods, 33(4), 925–948.

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.