Lustres-Pérez, Vicente - Search Results - UAB Digital Repository of Documents

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Articles, 3 records found

Articles	3 records found

14 p, 1.6 MB

Flexible quantile regression models : application to the study of the purple sea urchin / Martínez-Silva, Isabel (Universidade de Santiago de Compostela. Departamento de Estatística) ; Roca-Pardiñas, Javier (Universidade de Vigo. Departamento de Estatística e Investigación Operativa) ; Lustres-Pérez, Vicente (Universidade de Santiago de Compostela. Departamento de Zooloxía e Antropoloxía Física) ; Lorenzo-Arribas, Altea (Universidade de Santiago de Compostela. Departamento de Estatística) ; Cadarso-Suárez, Carmen (Universidade de Santiago de Compostela. Departamento de Estatística)
In many applications, it is often of interest to assess the possible relationships between covariates and quantiles of a response variable through a regression model. In some instances, the effects of continuous covariates on the outcome are highly nonlinear. [...]
2013
SORT : statistics and operations research transactions, Vol. 37, Núm. 1 (January-June 2013) , p. 81-94

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10 p, 81.9 KB

Application of receiver operating characteristic (ROC) methodology in biological studies on marine resources : sex determination of Paracentrotus lividus (Lamarck, 1816) / Lustres-Pérez, Vicente ; Rodríguez-Álvarez, María Xosé ; Pazos Pata, María ; Fernández-Pulpeiro, Eugenio ; Cadarso-Suárez, Carmen ; Universidade de Santiago de Compostela
The receiver operating characteristic (ROC) curve is usually used in biomedicine as an indicator of the accuracy of diagnostic tests. However, this measure of discrimination has been little used in other areas, such as animal biology or ecology. [...]
2010
SORT : statistics and operations research transactions, Vol. 34, Núm. 2 (July-December 2010) , p. 239-248

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12 p, 1.0 MB

Modelling spatial patterns of distribution and abundance of mussel seed using Structured Additive Regression models / Pazos Pata, María ; Rodríguez-Álvarez, María Xosé ; Lustres-Pérez, Vicente ; Fernández-Pulpeiro, Eugenio ; Cadarso-Suárez, Carmen
As mussel farming depends on sources of natural mussel seed, knowledge of factors is required to regulate both the spatial distribution and abundance of this resource. These spatial patterns were modelled using Bayesian STructured Additive Regression (STAR) models for categorical data, based on a mixed-model representation. [...]
2010
SORT : statistics and operations research transactions, Vol. 34, Núm. 1 (January-June 2010) , p. 67-78

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