A new computational approach test for one-way ANOVA under heteroscedasticity


Mutlu H. T. , GÖKPINAR F. , GÖKPINAR E. , Gul H. H. , GÜVEN G.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, vol.46, no.16, pp.8236-8256, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 46 Issue: 16
  • Publication Date: 2017
  • Doi Number: 10.1080/03610926.2016.1177082
  • Title of Journal : COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
  • Page Numbers: pp.8236-8256
  • Keywords: Computational approach test, One-way ANOVA, Heteroscedasticity, UNEQUAL VARIANCES, EQUALITY

Abstract

This paper proposes a new test statistic based on the computational approach test (CAT) for one-way analysis of variance (ANOVA) under heteroscedasticity. The proposed test was compared with other popular tests according to type I error and power of tests under different combinations of variances, means, number of groups and sample sizes. As a result, it was observed that the proposed test yields better results than other tests in many cases.