Maria Manuela Melo Oliveira
AuthID: R-000-C9Y
41
TITLE: A three-step approach to post-fire mortality modelling in maritime pine (Pinus pinaster Ait) stands for enhanced forest planning in Portugal
AUTHORS: Garcia-Gonzalo, J; Marques, S; Borges, JG; Botequim, B; Oliveira, MM; Tome, J; Tome, M;
PUBLISHED: 2011, SOURCE: Forestry, VOLUME: 84, ISSUE: 2
AUTHORS: Garcia-Gonzalo, J; Marques, S; Borges, JG; Botequim, B; Oliveira, MM; Tome, J; Tome, M;
PUBLISHED: 2011, SOURCE: Forestry, VOLUME: 84, ISSUE: 2
42
TITLE: Asymptotic linearity and limit distributions, approximations Full Text
AUTHORS: Joao T Mexia ; Manuela M Oliveira;
PUBLISHED: 2010, SOURCE: JOURNAL OF STATISTICAL PLANNING AND INFERENCE, VOLUME: 140, ISSUE: 2
AUTHORS: Joao T Mexia ; Manuela M Oliveira;
PUBLISHED: 2010, SOURCE: JOURNAL OF STATISTICAL PLANNING AND INFERENCE, VOLUME: 140, ISSUE: 2
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TITLE: Estimation in models with commutative orthogonal block structure
AUTHORS: Francisco P Carvalho ; João T Mexia ; Manuela M Oliveira;
PUBLISHED: 2009, SOURCE: Journal of Statistical Theory and Practice, VOLUME: 3, ISSUE: 2
AUTHORS: Francisco P Carvalho ; João T Mexia ; Manuela M Oliveira;
PUBLISHED: 2009, SOURCE: Journal of Statistical Theory and Practice, VOLUME: 3, ISSUE: 2
44
TITLE: Canonic inference and commutative orthogonal block structure Full Text
AUTHORS: Francisco Carvalho ; Joao Tiago Mexia ; Manuela M Oliveira;
PUBLISHED: 2008, SOURCE: Discussiones Mathematicae Probability and Statistics, VOLUME: 28, ISSUE: 2
AUTHORS: Francisco Carvalho ; Joao Tiago Mexia ; Manuela M Oliveira;
PUBLISHED: 2008, SOURCE: Discussiones Mathematicae Probability and Statistics, VOLUME: 28, ISSUE: 2
45
TITLE: Tests for the Rank of Matrices of Hilbert-Schmidt Products
AUTHORS: Manuela M Oliveira; João T Mexia;
PUBLISHED: 1998, SOURCE: Studies in Classification, Data Analysis, and Knowledge Organization - Advances in Data Science and Classification
AUTHORS: Manuela M Oliveira; João T Mexia;
PUBLISHED: 1998, SOURCE: Studies in Classification, Data Analysis, and Knowledge Organization - Advances in Data Science and Classification
