Open Access
March, 1974 A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel
Richard F. Potthoff
Ann. Statist. 2(2): 295-310 (March, 1974). DOI: 10.1214/aos/1176342664

Abstract

This paper provides a means for testing the hypothesis that two simple regression lines are parallel, when the two sets of error terms have two arbitrary unknown continuous distributions. The non-parametric test which is developed here is analogous to the two-sample Wilcoxon test. At the end of the paper, two additional problems in non-parametric regression analysis are briefly referred to.

Citation

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Richard F. Potthoff. "A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel." Ann. Statist. 2 (2) 295 - 310, March, 1974. https://doi.org/10.1214/aos/1176342664

Information

Published: March, 1974
First available in Project Euclid: 12 April 2007

zbMATH: 0277.62054
MathSciNet: MR362692
Digital Object Identifier: 10.1214/aos/1176342664

Subjects:
Primary: 62G10
Secondary: 62G15 , 62J05

Keywords: $U$-statistics , Non-parametric test , parallelism , simple regression , Wilcoxon-Mann-Whitney test

Rights: Copyright © 1974 Institute of Mathematical Statistics

Vol.2 • No. 2 • March, 1974
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