A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel
Potthoff, Richard F.
Ann. Statist., Tome 2 (1974) no. 1, p. 295-310 / Harvested from Project Euclid
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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.
Publié le : 1974-03-14
Classification:  Non-parametric test,  parallelism,  Wilcoxon-Mann-Whitney test,  simple regression,  $U$-statistics,  62G10,  62J05,  62G15 
@article{1176342664,
     author = {Potthoff, Richard F.},
     title = {A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel},
     journal = {Ann. Statist.},
     volume = {2},
     number = {1},
     year = {1974},
     pages = { 295-310},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176342664}
}

Potthoff, Richard F. A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel. Ann. Statist., Tome 2 (1974) no. 1, pp.  295-310. http://gdmltest.u-ga.fr/item/1176342664/