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

Jiin Huarng Guo, Wei-Ming Luh

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)731-738
Number of pages8
JournalJournal of Applied Statistics
Volume27
Issue number6
DOIs
Publication statusPublished - 2000 Aug 2

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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