Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.14/14476
Título: Multivariate Parametric Analysis of Interval Data
Autor: Brito, Paula
Duarte Silva, A. P.
Dias, José G.
Palavras-chave: Interval data
Parametric modelling of interval data
Symbolic data
Data: 2013
Citação: BRITO, Paula; DUARTE SILVA, A.P.; DIAS, José G. - Multivariate Parametric Analysis of Interval Data. In SIS 2013 Statistical Conference on Advances in Latent Variables, Methods, Models and Applications, Brescia, Italia, 19-21 June 2013. BRENTARI, E...[et al.] (Eds.) - Advances in Latent Variables: Methods, Models and Applications. [Italia: Italian Statistical Society, 2013]. ISBN 978-88-343-2556-8. 8 p.
Resumo: This work focuses on the study of interval data, i.e., when the variables’ values are intervals of IR, using parametric probabilistic models previously proposed. These models are based on the representation of each observed interval by its MidPoint and LogRange for which multivariate Normal and Skew-Normal distributions are assumed, considering different structures of the variance-covariance matrix. The proposed modelling has been applied to different multivariate methodologies - (M)ANOVA, discriminant analysis, model-based clustering - that are presented and discussed. The R-package MAINT.Data, available on CRAN, implements models and methods for the Gaussian case.
URI: http://hdl.handle.net/10400.14/14476
Aparece nas colecções:CEGE - Artigos em actas / Papers in proceedings

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