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Testing for Random Effect in the Mixed Analysis of Variance Model

Cilt: 10 Sayı: 1 15 Temmuz 2013
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Testing for Random Effect in the Mixed Analysis of Variance Model

Öz

We consider the mixed analysis of variance (ANOVA) model. It is assumed that random effects in the model are from non-normal universes. Approximate test for random effect is established. The proposed approximate test is based on the asymptotic distribution of the F-ratio in this model and its robustness is given.

Anahtar Kelimeler

Kaynakça

  1. Akritas, M., Arnold, S., 2000. "Asymptotics for Analysis of Variance When the Number of Levels is Large", Journal of the American Statistical Association, 95, 212-226.
  2. Akritas, M. G., Papadatos, N., 2004. "Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests", Journal of the American Statistical Association, 99, 368-382.
  3. Arnold, S. F., 1980. "Asymptotic Validity of F Tests for the Ordinary Linear Model and the Multiple Correlation Model", Journal of the American Statistical Association, 75, 890-894.
  4. Arnold, S. F., 1981. The Theory of Linear Models and Multivariate Analysis, New York: Wiley.
  5. Bathke, A., 2004. "ANOVA F Test can Still be Used in Some Balanced Designs with Unequal Variances and Nonnomal Data", Journal of Statistical Planning and Inference, 126, 413-422.
  6. Bathke, A., Harrar, S. W., Madden, L. W., 2008. "How to Compare Small Multivariate Samples Using Nonparametric Test", Computational Statistics and Data Analysis, 52, 4951-4965.
  7. Boos, D. D., Brownie, C., 1995. "ANOVA and Rank Tests When the Number of Treatments is Large", Statistics and Probability Letters, 23, 183-191.
  8. Brunner, E., Dette, H., Munk, A., 1997. "Box-Type Approximations in Nonparametric Factorial Design", Journal of the American Statistical Association, 92, 1494-1502.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İstatistiksel Teori

Bölüm

Konferans Bildirisi

Yazarlar

Yayımlanma Tarihi

15 Temmuz 2013

Gönderilme Tarihi

7 Mayıs 2013

Kabul Tarihi

21 Haziran 2013

Yayımlandığı Sayı

Yıl 2013 Cilt: 10 Sayı: 1

Kaynak Göster

APA
Güven, B. (2013). Testing for Random Effect in the Mixed Analysis of Variance Model. İstatistik Araştırma Dergisi, 10(1), 9-16. https://izlik.org/JA28BB57ZY
AMA
1.Güven B. Testing for Random Effect in the Mixed Analysis of Variance Model. JSRTR. 2013;10(1):9-16. https://izlik.org/JA28BB57ZY
Chicago
Güven, Bilgehan. 2013. “Testing for Random Effect in the Mixed Analysis of Variance Model”. İstatistik Araştırma Dergisi 10 (1): 9-16. https://izlik.org/JA28BB57ZY.
EndNote
Güven B (01 Temmuz 2013) Testing for Random Effect in the Mixed Analysis of Variance Model. İstatistik Araştırma Dergisi 10 1 9–16.
IEEE
[1]B. Güven, “Testing for Random Effect in the Mixed Analysis of Variance Model”, JSRTR, c. 10, sy 1, ss. 9–16, Tem. 2013, [çevrimiçi]. Erişim adresi: https://izlik.org/JA28BB57ZY
ISNAD
Güven, Bilgehan. “Testing for Random Effect in the Mixed Analysis of Variance Model”. İstatistik Araştırma Dergisi 10/1 (01 Temmuz 2013): 9-16. https://izlik.org/JA28BB57ZY.
JAMA
1.Güven B. Testing for Random Effect in the Mixed Analysis of Variance Model. JSRTR. 2013;10:9–16.
MLA
Güven, Bilgehan. “Testing for Random Effect in the Mixed Analysis of Variance Model”. İstatistik Araştırma Dergisi, c. 10, sy 1, Temmuz 2013, ss. 9-16, https://izlik.org/JA28BB57ZY.
Vancouver
1.Bilgehan Güven. Testing for Random Effect in the Mixed Analysis of Variance Model. JSRTR [Internet]. 01 Temmuz 2013;10(1):9-16. Erişim adresi: https://izlik.org/JA28BB57ZY