stat0038.Glen: The Glen-Leemis-Barr test for the Laplace distribution
In PoweR: Computation of Power and Level Tables for Hypothesis Tests
Description
Author(s)
References
See Also
Description
The Glen-Leemis-Barr test 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
Glen, A., Leemis, L., and Barr, D. (2001) Order Statistics in Goodness
of Fit Testing,
IEEE Transactions on Reliability, 50, Number 2, pp. 209-213.
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.
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Description Author(s) References See Also
Description
The Glen-Leemis-Barr test 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
Glen, A., Leemis, L., and Barr, D. (2001) Order Statistics in Goodness of Fit Testing, IEEE Transactions on Reliability, 50, Number 2, pp. 209-213.
See Also
See Laplace.tests for other goodness-of-fit tests
for the Laplace distribution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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