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Resultados globales: 5 registros encontrados en 0.01 segundos.
Artículos, Encontrados 5 registros
Artículos Encontrados 5 registros  
1.
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  
Registro completo - Creative Commons
2.
10 p, 2.8 MB Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru / Flores, Claudio (Universitat Politècnica de Catalunya. Departament de Estadística) ; Rodríguez-Girondo, Mar (Universidade de Vigo) ; Cadarso-Suárez, Carmen (Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización) ; Kneib, Thomas (Georg August University. Department of Economics) ; Gómez Melis, Guadalupe (Universitat Politècnica de Catalunya. Departament de Estadística) ; Casanova, Luis (Instituto Nacional de Enfermedades Neoplásicas (Lima, Perú))
Knowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type structured hazard regression models while accounting for potential spatial correlations in the survival times. [...]
2012
SORT : statistics and operations research transactions, Vol. 36, Núm. 2 (juliol-desembre 2012) , p. 221-230  
Registro completo - Creative Commons
3.
42 p, 806.0 KB Analysing visual receptive fields through generalised additive models with interactions / Rodríguez-Álvarez, María Xosé ; Cadarso-Suárez, Carmen ; González, Francisco
Visual receptive fields (RFs) are small areas of the visual field where a stimulus induces a responses of a particular neuron from the visual system. RFs can be mapped using reverse crosscorrelation technique, which produces raw matrices containing both spatial and temporal information about the RF. [...]
2012
SORT : statistics and operations research transactions, Vol. 36, Núm. 1 (January-June 2012) , p. 3-44  
Registro completo - Creative Commons
4.
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  
Registro completo - Creative Commons
5.
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  
Registro completo - Creative Commons

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