stat0097.Rizzo: Expected distances and goodness-of-fit for the asymmetric...
In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description Author(s) References See Also

Expected distances and goodness-of-fit for the asymmetric 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.

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

Rizzo, M. L., Haman, J. T. 2016. Expected distances and goodness-of-fit for the asymmetric Laplace distribution. Statist. Probab. Lett., 117, 158-164.

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

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