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

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  • Hakan Tahiri Mutlu
  • Fikri Gökpinar
  • Esra Gökpinar
  • Hasan Hüseyin Gül
  • Gamze Güven

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.

Suggested Citation

  • Hakan Tahiri Mutlu & Fikri Gökpinar & Esra Gökpinar & Hasan Hüseyin Gül & Gamze Güven, 2017. "A new computational approach test for one-way ANOVA under heteroscedasticity," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(16), pages 8236-8256, August.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:16:p:8236-8256
    DOI: 10.1080/03610926.2016.1177082
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