Books/Chapters
2019
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Sandra S. Ferreira, Dário Ferreira, Célia Nunes, Francisco Carvalho, João Tiago Mexia. Orthogonal Block Structure and Uniformly Best Linear Unbiased Estimators. Matrices, Statistics and Big Data: Selected Contributions from IWMS 2016 (IWMS-2016, Funchal, Madeira. Portugal, 6-9 June 2016). S. Ejaz Ahmed, Francisco Carvalho & Simo Puntanen, Editors. Springer, in press.
2018
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Ferreira, D, Ferreira, S.S., Nunes, C. and Mexia, J.T., Optimal Estimators in Mixed Models with Orthogonal Block Structures. Stochastic Modeling, Recent Studies on Risk Analysis and Statistical Modeling, 2018, Springer, Cham 271—276. https://doi.org/10.1007/978-3-319-76605-8
2016
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Ferreira, S.S, Ferreira, D., Nunes, C. and Mexia, J.T., Estimation in Models with Commutative Orthogonal Block Structure, Imbedded Orthogonality. Stochastic Modeling, Data Analysis and Statistical Applications, 2016, 315—323. ISBN: 978-618-5180-11-9.
2014
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Dário Ferreira, Sandra Ferreira, Célia Nunes and João T. Mexia, Inference in a three way crossed linear random model. Biometrie und Medizinische Informatik-Greifswalder Seminarberichte. Statistical and Biometrical Challenges: Theory and Applications. Editors: Teresa Oliveira, Karl-Ernst Biebler, Amilcar Oliveira, Bernd Jager. Shaker Verlag, Aachen 2014. 115-126. ISBN: 3-8440-2680-1. http://www.shaker.nl/Online-Gesamtkatalog-Download/2016.12.14-18.44.59-188.80.125.213-radF7236.tmp/3-8440-2680-0_INH.PDF
2013
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Nunes, C., Ferreira, D., Ferreira, S. and Mexia, J.T. – Generalized F tests in models with random perturbations: the truncated Normal case. Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and other Statistical Applications. International book series studies in theoretical and applied statistics. Selected papers of the Statistical Societies. Lita da Silva, J.; Caeiro, F.; Natálio, I.; Braumann, C.A.; Esquível, M.; Mexia, J.T. (Editors).
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Ferreira, S.S, Ferreira, D., Nunes, C. and Mexia, J.T., Estimation in Models with Commutative Orthogonal Block Structure, Imbedded Orthogonality. Stochastic Modeling, Data Analysis and Statistical Applications, 2016, 315—323. ISBN: 978-618-5180-11-9.