Testing methods for the one-way fixed effects ANOVA models of log-normal samples

Jiin-Huarng Guo and Wei-Ming Luh

Journal of Applied Statistics, 2000, vol. 27, issue 6, 731-738

Abstract: For one-way fixed effects of log-normal data with unequal variance, the present study proposes a method to deal with heterogeneity. An appropriate hypothesis testing is demonstrated; and one of the approximate tests, such as the Alexander-Govern test, Welch test or James second-order test, is applied to control Type I error rate. Monte Carlo simulation is used to investigate the performance of the F test for log-scale, the F test for original scale, the James second-order test, the Welch test, and the Alexander-Govern test. The simulated results and real data analysis show that the proposed method is valid and powerful.

Date: 2000
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DOI: 10.1080/02664760050081915

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