stat0052.ChoiKim2: The 2nd Choi-Kim test for the Laplace distribution
In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description Details Author(s) References See Also

The 2nd Choi-Kim test T_{m,n}^{E} 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.

If m is not specified it assumes the default value from the Table 4 (Choi and Kim (2006)) which produces the maximum critical values of the test statistic. Note that m < (n/2) where n is the sample size.

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

Choi, B. and Kim, K. (2006), Testing goodness-of-fit for Laplace distribution based on maximum entropy, Statistics, 40(6), 517–531.

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

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