https://orcid.org/0000-0002-8649-3859
References
- Box, G. 1949. A general distribution theory for a class of likelihood criteria. Biometrika 36 (3–4):317–46. doi:10.2307/2332671.
- Cardoso de Oliveira, I. R, and D. F. Ferreira. 2010. Multivariate extension of chi-squared univariate normality test. Journal of Statistical Computation and Simulation 80 (5):513–26. doi:10.1080/00949650902731377.
- Casella, G, and R. Berger. 2014. Inferência estatística-tradução da 2a edição norte-americana. São Paulo: Centage Learning.
- Coelho, C., F. Marques, and S. Oliveira. 2016. Near-exact distributions for likelihood ratio statistics used in the simultaneous test of conditions on mean vectors and patterns of covariance matrices. Mathematical Problems in Engineering 2016:1–25. doi:10.1155/2016/8975902.
- Falk, M. 1997. On mad and comedians. Annals of the Institute of Statistical Mathematics 49 (4):615–44. doi:10.1023/A:1003258024248.
- Ferreira, D. F. 2018. Estatística multivariada. 3rd ed. Lavras: Editora UFLA.
- Filipe, J. Marques, and C. Coelho. 2015. The sphericity versus equivariance-equicorrelation test. Vol. 1648 of AIP Conference Proceedings, 540009. New York: AIP Publishing.
- Lee, J., P. R. Kridhnaiah, and T. C. Chang. 1976. On the distribution of the likelihood ratio test statistic for compound symmetry. South African Statistical Journal 10 (1):49–62.
- Maechler, M. P. Rousseeuw, C. Croux, V. Todorov, A. Ruckstuhl, M. Salibian-Barrera, T. Verbeke, M. Koller, E. L. T. Conceicao, and M. A. di Palma. 2019. robustbase: Basic Robust Statistics. http://robustbase.r-forge.r-project.org/. R package version 0.93-5.
- Morris, T., M. Payton, and S. Santorico. 2011. A permutation test for compound symmetry with application to gene expression data. Journal of Modern Applied Statistical Methods 10 (2):447–61. doi:10.22237/jmasm/1320120300.
- R Core Team. 2018. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
- Ueda, C. M, et al. 2003. Modelos não lineares com diferentes estruturas de covariância em curvas de crescimento: Uma aplicação no estudo da severidade da doença late blight. Mestrado em engenharia de produção, Universidade Federal de Santa Catarina, Florianópolis, SC.
- Votaw, D. Jr. 1948. Testing compound symmetry in a normal multivariate distribution. The Annals of Mathematical Statistics 19 (4):447–73. https://www.jstor.org/stable/2236016. doi:10.1214/aoms/1177730145.
- Wilks, S. 1946. Sample criteria for testing equality of means, equality of variances, and equality of covariances in a normal multivariate distribution. The Annals of Mathematical Statistics 17 (3):257–81. https://www.jstor.org/stable/2236125. doi:10.1214/aoms/1177730940.