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 4.4 of Kloke and McKean (2014).

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/npsm documentation built on Nov. 11, 2023, 4:27 a.m.