Testing the equality of several log-normal means based on a computational approach

GÖKPINAR F., GÖKPINAR E.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, cilt.46, sa.3, ss.1998-2010, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 3
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1080/03610918.2015.1030413
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1998-2010
  • Anahtar Kelimeler: Computational approach test, Generalized variable approach, Log-normal distribution, Welch test, Hypothesis testing, INVERSE GAUSSIAN MEANS, CONFIDENCE-INTERVALS, NORMAL DISTRIBUTIONS, LINEAR FUNCTIONS, NORMAL SAMPLES, VARIANCE, HETEROGENEITY, LIMITS
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, we propose a new test based on a computational approach to test the equality of several log-normal means. We compare this test with some existing methods in terms of the type-I error rate and power using Monte Carlo simulations for varying values of number of groups and sample sizes. The simulation results indicate that the proposed test could be suggested as a good alternative for testing the equality of several log-normal means.