fp.test: Placement Test for the Behrens-Fisher problem.

In kloke/npsm: Nonparametric Statistical Methods

Placement Test for the Behrens-Fisher problem.

Description

Returns the test based on placements for the Behrens-Fisher problem. This test was developed by Fligner and Policello (1981); see, also, Section 2.11 of Hettmansperger and McKean (2011) and Section 4.4 of Hollander and Wolfe (1999). The version computed by fp.test is discussed in Section 3.4 of Kloke and McKean (2014)/Section 3.6 of Kloke and McKean (2024).

Usage

fp.test(x,y,delta0=0,alternative = "two.sided")

Arguments

x	vector of first sample responses
y	vector of second sample responses
delta0	null value tested
alternative	alternative indicator for hypotheses

Details

Returns the Placement Test for the Behrens-Fisher problem.

Value

statistic	chi-squared test statistic
p.value	p-value of the test
numerator	numerator of test statistic
denominator	denominator of test statistic

Author(s)

John Kloke, Joseph McKean

References

Fligner, M.~A. and Policello, G.~E. (1981), Robust rank procedures for the Behrens-Fisher problem, Journal of the American Statistical Association, 76, 162–168.

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

Hollander, M. and Wolfe, D.~A. (1999), Nonparametric statistical methods, 2nd Edition, New York: John Wiley and Sons.

Kloke, J. and McKean, J.W. (2014), Nonparametric statistcal methods using R, Boca Raton, FL: Chapman-Hall. Kloke, J. and McKean, J.W. (2024), Nonparametric statistcal methods using R, Second Edition, Boca Raton, FL: Chapman-Hall.

kloke/npsm documentation built on June 13, 2024, 4:23 p.m.