Research Article

Modified Welch test statistic for ANOVA under Weibull distribution

Volume: 45 Number: 2 April 1, 2016
EN

Modified Welch test statistic for ANOVA under Weibull distribution

Abstract

A modification to Welch test statistic is proposed to test the equality of population means of various groups under a Weibull distribution. The proposed test statistic is simple and corresponds to the standard Welch test statistic in which the maximum likelihood mean and variance estimators are replaced with robust estimators based on quantile, quantile least square and repeated median. The influence function and breakdown point of these robust estimators are obtained to show their robustness properties. In the simulation study, various experimental designs are considered to evaluate the performance of proposed modified Welch classical ANOVA tests in terms of the type I-errors studies via simulation study.

Keywords

References

  1. Abernethy, R.B., Breneman, J.E., Medlin, C.H. and Reinman, G.L., 1983, Weibull Analysis Handbook, Technical Report, AFWAL-TR-83- 207, Air Force Wright Aeronautical Laboratories, Washington, D.C., http://handle.dtic.mil/100.2/ADA143100.
  2. Boudt, K., Caliskan, D. and Croux, C., 2011, Robust explicit estimators of Weibull parameters, Metrika, 73, 187-209.
  3. Cochran, W.G., 1937, Problems arising in the analysis of a series of similar experimentals, Journal of Royal Statistics Soc.Supp., 4, 102-118.
  4. Cohen, A. C. and Whitten, B. J., 1988, Parameter Estimation in Reliability and Life Span Models, New York: Marcel Dekker.
  5. DerSimonian, R. and Laird, N., 1986, Meta-analysis in clinical trials, Controlled Clin. Trials, 7, 177-188.
  6. Gupta, R.D. and Kundu, D., 2001, Exponentiated Exponential Family: An Alternative to Gamma and Weibull Distributions, Biometrical Journal 43,1, 117-130
  7. James, G., S., 1951, The comparison of several groups of observations when the ratios of the population variances are unkown, Biometrika, 38, 324-329.
  8. Karagöz, D., 2012, Robust Analaysis of Variance, PhD thesis: Hacettepe University, Ankara, Turkey.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Publication Date

April 1, 2016

Submission Date

September 3, 2014

Acceptance Date

March 10, 2015

Published in Issue

Year 2016 Volume: 45 Number: 2

APA
Karagöz, D. (2016). Modified Welch test statistic for ANOVA under Weibull distribution. Hacettepe Journal of Mathematics and Statistics, 45(2), 561-573. https://izlik.org/JA57HF93YJ
AMA
1.Karagöz D. Modified Welch test statistic for ANOVA under Weibull distribution. Hacettepe Journal of Mathematics and Statistics. 2016;45(2):561-573. https://izlik.org/JA57HF93YJ
Chicago
Karagöz, Derya. 2016. “Modified Welch Test Statistic for ANOVA under Weibull Distribution”. Hacettepe Journal of Mathematics and Statistics 45 (2): 561-73. https://izlik.org/JA57HF93YJ.
EndNote
Karagöz D (April 1, 2016) Modified Welch test statistic for ANOVA under Weibull distribution. Hacettepe Journal of Mathematics and Statistics 45 2 561–573.
IEEE
[1]D. Karagöz, “Modified Welch test statistic for ANOVA under Weibull distribution”, Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 2, pp. 561–573, Apr. 2016, [Online]. Available: https://izlik.org/JA57HF93YJ
ISNAD
Karagöz, Derya. “Modified Welch Test Statistic for ANOVA under Weibull Distribution”. Hacettepe Journal of Mathematics and Statistics 45/2 (April 1, 2016): 561-573. https://izlik.org/JA57HF93YJ.
JAMA
1.Karagöz D. Modified Welch test statistic for ANOVA under Weibull distribution. Hacettepe Journal of Mathematics and Statistics. 2016;45:561–573.
MLA
Karagöz, Derya. “Modified Welch Test Statistic for ANOVA under Weibull Distribution”. Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 2, Apr. 2016, pp. 561-73, https://izlik.org/JA57HF93YJ.
Vancouver
1.Derya Karagöz. Modified Welch test statistic for ANOVA under Weibull distribution. Hacettepe Journal of Mathematics and Statistics [Internet]. 2016 Apr. 1;45(2):561-73. Available from: https://izlik.org/JA57HF93YJ