stat0078.Morales: The Morales test for uniformity

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

Description

The Morales test D_{n,m}(phi_lambda) 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 λ and m are not specified they assume the default values of 0 and 2, respectively.

There are 3 choices for value of λ : λ = 0, λ = -1, and λ != 0, != -1.

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

Morales, D., Pardo, L., Pardo, M. C. and Vajda, I. (2003), Limit laws for disparities of spacings, Journal of Nonparametric Statistics, 15(3), 325–342.

M. A. Marhuenda, Y. Marhuenda, D. Morales, (2005), Uniformity tests under quantile categorization, Kybernetes, 34(6), 888–901.

See Also

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

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