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Year 2021, Volume: 70 Issue: 1, 194 - 204, 30.06.2021
https://doi.org/10.31801/cfsuasmas.726132

Abstract

References

  • Anderson, T. W., An Introduction to Multivariate Statistical Analysis (2d ed.), Wiley, New York, 1984.
  • Gaugler, T., Akritas, M. G., Testing for interaction in two-way random and mixed effects models: the fully nonparametric approach, Biometrics, 67 (4) (2011), 1314-1320.
  • Gaugler, T., Akritas, M. G., Mixed effects design: the symmetry assumption and missing data, Journal of the American Statistical Association, 107 (499) (2012), 1230-1238.
  • Gaugler, T., Akritas, M. G., Testing for main random effects in two-way random and mixed models: modifying the F statistic, Journal of Probability and Statistics, 2013 (2013), Article ID 708540, 11 pages.
  • Güven, B., A mixed model for complete three or higher way layout with two random effects factors, Journal of Multivariate Analysis, 139 (2015), 45-55.
  • Imhof, J. P., A mixed model for complete three or higher way layout with two random effects factors, Annals of Mathematical Statistics, 31 (4) (1960), 906-928.
  • Khattree, R., Rao, C. R., Handbook of Statistics 22, North-Holland, Amsterdam, 2003.
  • Khuri, A. I., Sinha, B. K., Statistical Test for Mixed Linear Models, Wiley, New York, 1998.
  • Scheffé, H., The Analysis of Variance, Wiley, New York, 1959.
  • Serfling, R. J., Approximation Theorems of Mathematical Statistics, Wiley, New York, 2002.

Nonparametric modeling via two-way mixed effects design

Year 2021, Volume: 70 Issue: 1, 194 - 204, 30.06.2021
https://doi.org/10.31801/cfsuasmas.726132

Abstract

The classical F-test for testing the hypothesis of no fixed main effects in a mixed effects design is valid under the assumption of normality, symmetry and variance homogeneity of the error terms assumption. We consider the two-way mixed effects design which does not require these three assumptions. A test procedure for the hypothesis of no main fixed effects is developed under this flexible model. The asymptotic distribution of the test statistic is studied for a large number of levels of the random effects.

References

  • Anderson, T. W., An Introduction to Multivariate Statistical Analysis (2d ed.), Wiley, New York, 1984.
  • Gaugler, T., Akritas, M. G., Testing for interaction in two-way random and mixed effects models: the fully nonparametric approach, Biometrics, 67 (4) (2011), 1314-1320.
  • Gaugler, T., Akritas, M. G., Mixed effects design: the symmetry assumption and missing data, Journal of the American Statistical Association, 107 (499) (2012), 1230-1238.
  • Gaugler, T., Akritas, M. G., Testing for main random effects in two-way random and mixed models: modifying the F statistic, Journal of Probability and Statistics, 2013 (2013), Article ID 708540, 11 pages.
  • Güven, B., A mixed model for complete three or higher way layout with two random effects factors, Journal of Multivariate Analysis, 139 (2015), 45-55.
  • Imhof, J. P., A mixed model for complete three or higher way layout with two random effects factors, Annals of Mathematical Statistics, 31 (4) (1960), 906-928.
  • Khattree, R., Rao, C. R., Handbook of Statistics 22, North-Holland, Amsterdam, 2003.
  • Khuri, A. I., Sinha, B. K., Statistical Test for Mixed Linear Models, Wiley, New York, 1998.
  • Scheffé, H., The Analysis of Variance, Wiley, New York, 1959.
  • Serfling, R. J., Approximation Theorems of Mathematical Statistics, Wiley, New York, 2002.
There are 10 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Research Articles
Authors

Sevgi Demircioğlu 0000-0003-3900-0713

Bilgehan Güven 0000-0001-8661-1408

Publication Date June 30, 2021
Submission Date April 23, 2020
Acceptance Date December 7, 2020
Published in Issue Year 2021 Volume: 70 Issue: 1

Cite

APA Demircioğlu, S., & Güven, B. (2021). Nonparametric modeling via two-way mixed effects design. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(1), 194-204. https://doi.org/10.31801/cfsuasmas.726132
AMA Demircioğlu S, Güven B. Nonparametric modeling via two-way mixed effects design. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. June 2021;70(1):194-204. doi:10.31801/cfsuasmas.726132
Chicago Demircioğlu, Sevgi, and Bilgehan Güven. “Nonparametric Modeling via Two-Way Mixed Effects Design”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70, no. 1 (June 2021): 194-204. https://doi.org/10.31801/cfsuasmas.726132.
EndNote Demircioğlu S, Güven B (June 1, 2021) Nonparametric modeling via two-way mixed effects design. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70 1 194–204.
IEEE S. Demircioğlu and B. Güven, “Nonparametric modeling via two-way mixed effects design”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., vol. 70, no. 1, pp. 194–204, 2021, doi: 10.31801/cfsuasmas.726132.
ISNAD Demircioğlu, Sevgi - Güven, Bilgehan. “Nonparametric Modeling via Two-Way Mixed Effects Design”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70/1 (June 2021), 194-204. https://doi.org/10.31801/cfsuasmas.726132.
JAMA Demircioğlu S, Güven B. Nonparametric modeling via two-way mixed effects design. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2021;70:194–204.
MLA Demircioğlu, Sevgi and Bilgehan Güven. “Nonparametric Modeling via Two-Way Mixed Effects Design”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, vol. 70, no. 1, 2021, pp. 194-0, doi:10.31801/cfsuasmas.726132.
Vancouver Demircioğlu S, Güven B. Nonparametric modeling via two-way mixed effects design. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2021;70(1):194-20.

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

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