| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 126.57 KB | Adobe PDF |
Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Interval data Parametric modelling of interval data Symbolic data
Contexto Educativo
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.