stat0078.Morales {PoweR} | R Documentation |
The Morales test for uniformity
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 \lambda
and m
are not specified they assume the default values of 0 and 2, respectively.
There are 3 choices for value of \lambda
: \lambda
= 0, \lambda
= -1, and \lambda
!= 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.