Resultados globales: 3 registros encontrados en 0.02 segundos.
Artículos, Encontrados 3 registros
Artículos Encontrados 3 registros  
1.
18 p, 391.2 KB On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models / Iparragirre, Amaia (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa) ; Barrio Beraza, Irantzu (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa) ; Rodríguez-Álvarez, María Xosé (BCAM-Basque Center for Applied Mathematics (Bilbao, País Basc))
When the same data are used to fit a model and estimate its predictive performance, this estimate may be optimistic, and its correction is required. The aim of this work is to compare the behaviour of different methods proposed in the literature when correcting for the optimism of the estimated area under the receiver operating characteristic curve in logistic regression models. [...]
2019 - 10.2436/20.8080.02.82
SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 145-162 (Articles)  
2.
23 p, 585.6 KB Delayed logistic population models revisited / Liz, Eduardo (Universidad de Vigo. Departamento de Matematica Aplicada II)
We discuss the global dynamics of some logistic models governed by delay-differential equations. We focus on models of exploited populations, and study the changes in the dynamics as the harvesting effort is increased. [...]
2014 - 10.5565/PUBLMAT_Extra14_17
Publicacions matemàtiques, Vol. Extra, Núm. (2014) , p. 309-331  
3.
36 p, 586.0 KB Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data / Pashkevich, Maxim ; Kharin, Yurij S. ; Belarusian State University
The paper focuses on robust estimation and forecasting techniques for grouped binary data with misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model (the beta-binomial or the beta-logistic), while the misclassifications are caused by the stochastic additive distortions of binary observations. [...]
2004
SORT : statistics and operations research transactions, Vol. 28, Núm. 2 (July-December 2004) , p. 125-160  

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