cucconi.dist.boot: Cucconi bootstrap distribution

In tpepler/nonpar: Collection of methods for non-parametric analysis

Cucconi bootstrap distribution

Description

Estimates the distribution of the Cucconi test statistic under the null hypothesis of no difference in the locations or scales of two univariate population distributions.

Usage

cucconi.dist.boot(x, y, reps = 10000)

Arguments

x	Vector of values from the first group.
y	Vector of values from the second group.
reps	Number of bootstrap replications to use.

Details

This is a utility function used by cucconi.test.

Value

Returns a vector containing values for the Cucconi test statistic (C) under the null hypothesis of no difference between the population distributions.

Author(s)

Theo Pepler

References

Cucconi, O. (1968). Un nuovo test non parametrico per il confronto tra due gruppi campionari. Giornale degli Economisti e Annali di Economia, XXVII: 225-248.

Marozzi, M. (2013). Nonparametric simultaneous tests for location and scale testing: A comparison of several methods. Communications in Statistics - Simulation and Computation, 42(6): 1298-1317.

Marozzi, M. (2009). Some notes on the location-scale Cucconi test. Journal of Nonparametric Statistics, 21(5): 629-647.

See Also

cucconi.test, cucconi.teststat and cucconi.dist.perm

tpepler/nonpar documentation built on May 13, 2023, 11:23 a.m.