stat0067.Kuiper: The Kuiper test for uniformity
In PoweR: Computation of Power and Level Tables for Hypothesis Tests
Description
Details
Author(s)
References
See Also
Description
The Kuiper test K_n for uniformity 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.
Details
Note that n is the sample size.
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
Brunk, H. D. (1962), On the range of the difference between hypothetical distribution function and Pyke's modified empirical distribution function,
Annals of Mathematical Statistics, 33, 525–532.
See Also
See Uniformity.tests for other goodness-of-fit tests for uniformity.
PoweR documentation built on May 2, 2019, 2:09 p.m.
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Description Details Author(s) References See Also
Description
The Kuiper test K_n for uniformity 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.
Details
Note that n is the sample size.
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
Brunk, H. D. (1962), On the range of the difference between hypothetical distribution function and Pyke's modified empirical distribution function, Annals of Mathematical Statistics, 33, 525–532.
See Also
See Uniformity.tests for other goodness-of-fit tests for uniformity.
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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