stat0079.Pardo: The Pardo test for uniformity

In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description

The Pardo test E_{m,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

If m is not specified it assumes the default value of 2. Note that m < (n/2) where 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

Pardo, M. C. (2003), A test for uniformity based on informational energy, Statistical Papers, 44, 521–534.

See Also

See Uniformity.tests for other goodness-of-fit tests for uniformity.

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