Published

2016-01-01

Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution

ANOVAS robustos heterocedásticos Brown-Forsythe y Brown-Forsythe modificado para la distribución Weibull contaminada

DOI:

https://doi.org/10.15446/rce.v39n1.55135

Keywords:

Brown-Forsythe, Modified Brown-Forsythe, ANOVA, Weibull Distribution (en)
ANOVA, Brown-Forsythe, Brown-Forsythe modificado, Distribución Weibull. (es)

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Authors

  • Derya Karagöz Hacettepe University, Ankara, Turkey
  • Tülay Saraçbasi Hacettepe University, Ankara, Turkey

In this study, robust Brown-Forsythe and robust Modified Brown-Forsythe ANOVA tests are proposed to take into consideration heteroscedastic and non-normality data sets with outliers. The non-normal data is assumed to be a two parameters Weibull distribution. Robust proposed tests are obtained by using robust mean and variance estimators based on median/ MAD and median/Qn methods instead of maximum likelihood. The behaviors of the robust proposed and classical ANOVA tests are examined by simulation study. The results shows that the proposed robust tests have good performance especially in the presence of heteroscedasticity and contamination.

En este estudio se proponen tests Brown-Forsythe y robustos Brown-Forsythe ANOVA para tener en cuenta la no-normalidad en datos debida a la presencia de datos atípicos. Se asume que los datos no-normales tienen una distribución Weibull de dos parámetros. Estos tests se construyen en base a estimadores robustos de media y varianza obtenidos con métodos basados en la mediana en vez de métodos de máxima verosimilitud. Se examina en comportamiento de estos tests con datos simulados. Los resultados muestran que éstos tienen un buen desempeño, especialmente en presencia de atípicos y datos contaminados.

Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution

ANOVAS robustos heterocedásticos Brown-Forsythe y Brown-Forsythe modificado para la distribución Weibull contaminada

DERYA KARAGÖ1, TÜLAY SARAÇBASI2

1Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey. PhD. Email: deryacal@hacettepe.edu.tr
2Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey. Professor. Email: toker@hacettepe.edu.tr


Abstract

In this study, robust Brown-Forsythe and robust Modified Brown-Forsythe ANOVA tests are proposed to take into consideration heteroscedastic and non-normality data sets with outliers. The non-normal data is assumed to be a two parameters Weibull distribution. Robust proposed tests are obtained by using robust mean and variance estimators based on median/MAD and median/Qn methods instead of maximum likelihood. The behaviors of the robust proposed and classical ANOVA tests are examined by simulation study. The results shows that the proposed robust tests have good performance especially in the presence of heteroscedasticity and contamination.

Key words: Brown-Forsythe, Modified Brown-Forsythe, ANOVA, Weibull Distribution.


Resumen

En este estudio se proponen tests Brown-Forsythe y robustos Brown-Forsythe ANOVA para tener en cuenta la no-normalidad en datos debida a la presencia de datos atípicos. Se asume que los datos no-normales tienen una distribución Weibull de dos parámetros. Estos tests se construyen en base a estimadores robustos de media y varianza obtenidos con métodos basados en la mediana en vez de métodos de máxima verosimilitud. Se examina en comportamiento de estos tests con datos simulados. Los resultados muestran que éstos tienen un buen desempeño, especialmente en presencia de atípicos y datos contaminados.

Palabras clave: ANOVA, Brown-Forsythe, Brown-Forsythe modificado, distribución Weibull.


Texto completo disponible en PDF


References

1. Anderson, T. W. & Darling, D. A. (1952), 'Asymptotic theory of certain 'goodness-of-fit' criteria based on stochastic processes', Annals of Mathematical Statistics 23, 193-212.

2. Boudt, K., Caliskan, D. & Croux, C. (2011), 'Robust explicit estimators of weibull parameters', Metrika 73, 187-209.

3. Brown, M. & Forsythe, A. (1974), 'Small sample behavior of some statistics which test the equality of several means', Technometrics 16, 129–132.

4. Gamage, J. & Weerahandi, S. (1998), 'Size performance of some tests in one-way anova', Communications in Statistics - Simulation and Computation 27, 625-640.

5. Gupta, R. & Kundu, D. (2001), 'Exponentiated exponential family: an alternative to gamma and weibull distributions', Biometrical Journal 43(1), 117-130.

6. James, G. (1951), 'The comparison of several groups of observations when the ratios of the population variances are unkown', Biometrika 38, 324-329.

7. Kulinskaya, E. & Dollinger, M. (2007), 'Robust weighted One-Way ANOVA: Improved approximation and efficiency', Journal of Statistical Planning and Inference 137, 462-472.

8. Mehrotra, D. (1997), 'Improving the brown-forsythe solution to the generalized behrens fisher problem', Communications in Statistics Simulation and Computation 26, 1139-1145.

9. Olive, D. (2006), 'Robust estimators for transformed location scale families', https://www.researchgate.net/profile/David_Olive2/publication/228390054_Robust_estimators_for_transformed_location_scale_families/links/02bfe51015be6ca4fa000000.pdf. Accessed: 2015-12-24.

10. Rousseeuw, P. & Croux, C. (1993), 'Alternatives to the median absolute deviation', Journal of the American Statistical Association 88, 1273-1283.

11. Senoglu, B. (2005), 'Robust 2^k factorial design with Weibull error distributions', Journal of Applied Statistics 32, 1051-1066.

12. Senoglu, B. (2007), 'Robust estimation and hypothesis testing in 2^k factorial design', Communications de la Faculte des Sciences de l'Universite. Series A1 56, 39-50.

13. Trujillo-Ortiz, A., Hernandez-Walls, R., Barba-Rojo, K., Castro-Perez, A. & Lavaniegos-Espejo, B. (2007), 'Andarwtest:anderson-darling test for assess- ing weibull distribution of a sample data'. http://www.mathworks.com/matlabcentral/fileexchange/15745-anderwtest

14. Weerahandi, S. (1995), 'Anova under unequal error variances', Biometrics 51, 589-599.

15. Welch, B. (1951), 'On the comparison of several mean values', Biometrika 38, 330-336.

16. Wilcox, R. (1995), 'The practical importance of heteroscedastic methods, using trimmed means versus means, and designing simulation studies', British Journal of Mathematical and Statistical Psychology 48, 99-114.

17. Wilcox, R. (1997), Introduction to Robust Estimation and Hypothesis Testing, Academic Press, New York.


[Recibido en octubre de 2014. Aceptado en febrero de 2015]

Este artículo se puede citar en LaTeX utilizando la siguiente referencia bibliográfica de BibTeX:

@ARTICLE{RCEv39n1a02,
    AUTHOR  = {Karagöz, Derya and Saraçbasi, Tülay,
    TITLE   = {{Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution}},
    JOURNAL = {Revista Colombiana de Estadística},
    YEAR    = {2016},
    volume  = {39},
    number  = {1},
    pages   = {17-32}
}

References

Anderson, T. W. & Darling, D. A. (1952), ‘Asymptotic theory of certain ’goodnessof-fit’ criteria based on stochastic processes’, Annals of Mathematical Statistics 23, 193–212.

Boudt, K., Caliskan, D. & Croux, C. (2011), ‘Robust explicit estimators of weibull parameters’, Metrika 73, 187–209.

Brown, M. & Forsythe, A. (1974), ‘Small sample behavior of some statistics which test the equality of several means’, Technometrics 16, 129–132.

Gamage, J. & Weerahandi, S. (1998), ‘Size performance of some tests in one-way anova’, Communications in Statistics - Simulation and Computation 27, 625–640.

Gupta, R. & Kundu, D. (2001), ‘Exponentiated exponential family: An alternative to gamma and weibull distributions’, Biometrical Journal 43(1), 117–130.

James, G., S. (1951), ‘The comparison of several groups of observations when the ratios of the population variances are unkown’, Biometrika 38, 324–329.

Kulinskaya, E. & Dollinger, M. (2007), ‘Robust weighted One-Way ANOVA: Improved approximation and efficiency’, Journal of Statistical Planning and Inference 137, 462–472.

Mehrotra, D. (1997), ‘Improving the brown-forsythe solution to the generalized behrens fisher problem’, Communications in Statistics Simulation and Computation 26, 1139–1145.

Olive, D. (2006), ‘Robust estimators for transformed location scale families’, https://www.researchgate.net/profile/David_Olive2/publication/228390054_Robust_estimators_for_transformed_location_scale_families/links/02bfe51015be6ca4fa000000.pdf. Accessed: 2015-12-24.

Rousseeuw, P. & Croux, C. (1993), ‘Alternatives to the median absolute deviation’, Journal of the American Statistical Association 88, 1273–1283.

Senoglu, B. (2005), ‘Robust 2k factorial design with Weibull error distributions’, Journal of Applied Statistics 32, 1051–1066.

Senoglu, B. (2007), ‘Robust estimation and hypothesis testing in 2k factorial design’, Communications de la Faculte des Sciences de l’Universite. Series A1 56, 39–50.

Trujillo-Ortiz, A., Hernandez-Walls, R., Barba-Rojo, K., Castro- Perez, A. & Lavaniegos-Espejo, B. (2007), ‘Andarwtest:andersondarling test for assessing weibull distribution of a sample data’, http://www.mathworks.com/matlabcentral/fileexchange/15745-anderwtest.

Weerahandi, S. (1995), ‘Anova under unequal error variances’, Biometrics 51, 589–599.

Welch, B. (1951), ‘On the comparison of several mean values’, Biometrika 38, 330–336.

Wilcox, R. (1995), ‘The practical importance of heteroscedastic methods, using trimmed means versus means, and designing simulation studies’, British Journal of Mathematical and Statistical Psychology 48, 99–114.

Wilcox, R. (1997), Introduction to Robust Estimation and Hypothesis Testing, Academic Press, New York.

How to Cite

APA

Karagöz, D. and Saraçbasi, T. (2016). Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution. Revista Colombiana de Estadística, 39(1), 17–32. https://doi.org/10.15446/rce.v39n1.55135

ACM

[1]
Karagöz, D. and Saraçbasi, T. 2016. Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution. Revista Colombiana de Estadística. 39, 1 (Jan. 2016), 17–32. DOI:https://doi.org/10.15446/rce.v39n1.55135.

ACS

(1)
Karagöz, D.; Saraçbasi, T. Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution. Rev. colomb. estad. 2016, 39, 17-32.

ABNT

KARAGÖZ, D.; SARAÇBASI, T. Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution. Revista Colombiana de Estadística, [S. l.], v. 39, n. 1, p. 17–32, 2016. DOI: 10.15446/rce.v39n1.55135. Disponível em: https://revistas.unal.edu.co/index.php/estad/article/view/55135. Acesso em: 15 apr. 2024.

Chicago

Karagöz, Derya, and Tülay Saraçbasi. 2016. “Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution”. Revista Colombiana De Estadística 39 (1):17-32. https://doi.org/10.15446/rce.v39n1.55135.

Harvard

Karagöz, D. and Saraçbasi, T. (2016) “Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution”, Revista Colombiana de Estadística, 39(1), pp. 17–32. doi: 10.15446/rce.v39n1.55135.

IEEE

[1]
D. Karagöz and T. Saraçbasi, “Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution”, Rev. colomb. estad., vol. 39, no. 1, pp. 17–32, Jan. 2016.

MLA

Karagöz, D., and T. Saraçbasi. “Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution”. Revista Colombiana de Estadística, vol. 39, no. 1, Jan. 2016, pp. 17-32, doi:10.15446/rce.v39n1.55135.

Turabian

Karagöz, Derya, and Tülay Saraçbasi. “Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution”. Revista Colombiana de Estadística 39, no. 1 (January 1, 2016): 17–32. Accessed April 15, 2024. https://revistas.unal.edu.co/index.php/estad/article/view/55135.

Vancouver

1.
Karagöz D, Saraçbasi T. Robust Brown-Forsythe and Robust Modified Brown-Forsythe ANOVA Tests Under Heteroscedasticity for Contaminated Weibull Distribution. Rev. colomb. estad. [Internet]. 2016 Jan. 1 [cited 2024 Apr. 15];39(1):17-32. Available from: https://revistas.unal.edu.co/index.php/estad/article/view/55135

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