Ghent University Academic Bibliography

@article{8161041,
  abstract     = {We propose a measure for interaction for factorial designs that is formulated in terms of a probability similar to the effect size of the Mann--Whitney test. It is shown how asymptotic confidence intervals can be obtained for the effect size and how a statistical test can be constructed. We further show how the test is related to the test proposed by Bhapkar and Gore [Sankhya A, 36:261--272 (1974)]. The results of a simulation study indicate that the test has good power properties and illustrate when the asymptotic approximations are adequate. The effect size is demonstrated on an example dataset.},
  author       = {De Neve, Jan and Thas, Olivier},
  journal      = {Communications in Statistics - Theory and Methods},
  language     = {eng},
  title        = {A Mann-Whitney type effect measure of interaction for factorial designs},
  url          = {http://dx.doi.org/10.1080/03610926.2016.1263739},
  year         = {2017},
}

Chicago

De Neve, Jan, and Olivier Thas. 2017. “A Mann-Whitney Type Effect Measure of Interaction for Factorial Designs.” Communications in Statistics - Theory and Methods.

APA

De Neve, Jan, & Thas, O. (2017). A Mann-Whitney type effect measure of interaction for factorial designs. Communications in Statistics - Theory and Methods.

Vancouver

1.

De Neve J, Thas O. A Mann-Whitney type effect measure of interaction for factorial designs. Communications in Statistics - Theory and Methods. 2017;

MLA

De Neve, Jan, and Olivier Thas. “A Mann-Whitney Type Effect Measure of Interaction for Factorial Designs.” Communications in Statistics - Theory and Methods (2017): n. pag. Print.