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Román Salmerón Gómez
Román Salmerón Gómez
在 ugr.es 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Variance inflation factor and condition number in multiple linear regression
R Salmeron, CB García, J García
Journal of statistical computation and simulation 88 (12), 2365-2384, 2018
3162018
Collinearity: revisiting the variance inflation factor in ridge regression
CB García, J García, MM López Martín, R Salmerón
Journal of Applied Statistics 42 (3), 648-661, 2015
2432015
Collinearity diagnostic applied in ridge estimation through the variance inflation factor
R Salmerón Gómez, J García Pérez, MDM López Martín, CG García
Journal of Applied Statistics 43 (10), 1831-1849, 2016
2102016
Standardization of variables and collinearity diagnostic in ridge regression
J García, R Salmerón, C García, MM López Martín
International Statistical Review 84 (2), 245-266, 2016
562016
The VIF and MSE in Raise Regression
R Salmerón Gómez, A Rodríguez Sánchez, CG García, J García Pérez
Mathematics 8 (4), 605, 2020
50*2020
Functional maximum-likelihood estimation of ARH (p) models
MD Ruiz-Medina, R Salmerón
Stochastic Environmental Research and Risk Assessment 24, 131-146, 2010
342010
Diagnosis and quantification of the non-essential collinearity
R Salmerón-Gómez, A Rodríguez-Sánchez, C García-García
Computational Statistics 35 (2), 647-666, 2020
322020
Overcoming the inconsistences of the variance inflation factor: A redefined VIF and a test to detect statistical troubling multicollinearity
R Salmerón, C García, J García
arXiv preprint arXiv:2005.02245, 2020
322020
The coefficient of determination in the ridge regression
A Rodríguez Sánchez, R Salmerón Gómez, C García
Communications in statistics-simulation and computation 51 (1), 201-219, 2022
302022
Residualization: Justification, properties and application
CB García, R Salmerón, C García, J García
Journal of Applied Statistics 47 (11), 1990-2010, 2020
302020
The VIF and MSE in Raise Regression
R Salmerón Gómez, A Rodríguez Sánchez, CG García, J García Pérez
Mathematics 8 (4), 605, 2020
282020
Métodos cuantitativos para un modelo de regresión lineal con multicolinealidad: Aplicación a rendimientos de letras del tesoro
RS Gómez, ER Martínez
Revista de Métodos Cuantitativos para la Economía y la Empresa 24, 169-189, 2017
272017
Influencia del entorno institucional en el desarrollo del emprendimiento español. Un análisis empírico
S Gómez Haro, R Salmerón Gómez
Universidad del Zulia. Venezuela, 2011
252011
Multi-spectral decomposition of functional autoregressive models
R Salmerón, MD Ruiz-Medina
Stochastic Environmental Research and Risk Assessment 23, 289-297, 2009
252009
Locating hyperplanes to fitting set of points: A general framework
V Blanco, J Puerto, R Salmerón
Computers & Operations Research 95, 172-193, 2018
232018
Transformation of variables and the condition number in ridge estimation
R Salmerón, J García, C García, MM López
Computational Statistics 33, 1497-1524, 2018
222018
The raise estimator estimation, inference, and properties
R Salmeron, C Garcia, J Garcia, MM Lopez
Communications in Statistics-Theory and Methods 46 (13), 6446-6462, 2017
222017
Kalman filtering from POP-based diagonalization of ARH (1)
MD Ruiz-Medina, R Salmerón, JM Angulo
Computational Statistics & Data Analysis 51 (10), 4994-5008, 2007
222007
A guide to using the r package “multicoll” for detecting multicollinearity
R Salmerón-Gómez, C García-García, J García-Pérez
Computational Economics 57, 529-536, 2021
202021
Relación entre los factores institucionales y el emprendimiento: análisis mediante técnicas cuantitativas
RS Gómez, SG Haro
Revista de Métodos Cuantitativos para la Economía y la Empresa 13, 54-72, 2012
202012
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