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Investigación


Blog

Desarrollo e implementación de metodologías para mitigar multicolinealidad aproximada preocupante: DIM3AP.

Perfiles


Tesis Doctoral

Análisis Estadístico de Datos Espacio-Temporales mediante Modelos Funcionales de Series Temporales. Ed. Universidad de Granada, handle: http://hdl.handle.net/10481/1952. ISBN: 978-84-691-4873-0. Fecha Lectura: 15/07/2008.

Artículos JCR

  1. Ruiz-Medina, M.D., Salmerón, R. y Angulo, J.M. (2007). Kalman filtering from POP-based diagonalization of ARH(1). Computational Statistics & Data Analysis, 51(10), 4994-5008, doi: https://doi.org/10.1016/j.csda.2006.07.013, url: PI  UGR.
  2. Salmerón, R. y Ruiz-Medina, M.D. (2009). Multi-spectral decomposition of functional autoregressive models. Stochastic Environmental Research and Risk Assessment, 23(3), 289-197, doi: https://doi.org/10.1007/s00477-008-0213-y (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR.
  3. Ruiz-Medina, M.D. y Salmerón, R. (2010). Functional maximum-likelihood estimation of ARH(p) models. Stochastic Environmental Research and Risk Assessment, 24(1), 131-146, doi: https://doi.org/10.1007/s00477-009-0306-2 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR.
  4. Gómez-Haro, S. y Salmerón, R. (2011). Influence of the institutional environment on the development of spanish entrepreneurship. An empirical analysis. Revista Venezolana de Gerencia, 16(54), 191-208, doi: https://www.redalyc.org/articulo.oa?id=29018865002 (open access), url: PI UGR.
  5. García, C.B., García, J., López-Martín, M.M. y Salmerón, R. (2015). Collinearity: revisiting the variance inflation factor in ridge regression. Journal of Applied Statistics, 42(3), 648-661, doi: https://doi.org/10.1080/02664763.2014.980789 , url: PI UGR, handle: DIGIBUG.
  6. García, J., Salmerón, R., García, C.B. y López-Martín, M.M. (2016). Standardization of Variables and Collinearity Diagnostic in Ridge Regression. International Statistical Review, 84(2), 245-266, doi: https://doi.org/10.1111/insr.12099, url: PI UGR, handle: DIGIBUG.
  7. Salmerón, R., García, J., López-Martín, C.B. y García, C.B. (2016). Collinearity diagnostic applied in ridge estimation through the variance inflation factor. Journal of Applied Statistics, 43(10), 1831-1849, doi: https://doi.org/10.1080/02664763.2015.1120712, url: PI UGR, handle: DIGIBUG.
  8. Salmerón, R., García, J., García, C.B. y López-martín, M.M. (2017). A note about the corrected VIF. Statistical Papers, 58(3), 929-945, doi: https://doi.org/10.1007/s00362-015-0732-9 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR. 
  9. Salmerón, R., García, C.B., García, J. y López-Martín, M.M. (2017). The raise estimator estimation, inference, and properties. Communications in Statistics - Theory and Methods, 46(13), 6446-6442, doi: https://doi.org/10.1080/03610926.2015.1125496, url: PI UGR, handle: DIGIBUG.
  10. García, C.B., García, J., López-Martín, M.M. y Salmerón, R. (2017). A generalized method for valuing agricultural farms under uncertainty. Land Use Policy, 65, 121-127, doi: https://doi.org/10.1016/j.landusepol.2017.04.008, url: PI UGR.
  11. Salmerón, R., García, J., García, C.B. y López-Martín, M.M. (2018). Transformation of variables and the condition number in ridge estimation. Computational Statistics, 33(3), 1497-1524, doi: https://doi.org/10.1007/s00180-017-0769-4 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR, handle: DIGIBUG.
  12. Salmerón, R., García, C.B. y García, J. (2018). Variance Inflation Factor and Condition Number in multiple linear regression. Journal of Statistical Computation and Simulation, 88(12), 2365-2384, doi: https://doi.org/10.1080/00949655.2018.1463376, url: PI UGR, handle: DIGIBUG.
  13. Blanco, V., Puerto, J. y Salmerón, R. (2018). Locating hyperplanes to fitting set of points: A general framework. Computers and Operations Research, 95, 172-193, doi: https://doi.org/10.1016/j.cor.2018.03.009, url: PI UGR, handle: DIGIBUG, url: arXiv.
  14. Blanco, V., Salmerón, R. y Gómez-Haro, S. (2018). A Multicriteria Selection System Based on Player Performance: Case Study—The Spanish ACB Basketball League. Group Decision and Negotiation, 27(6), 1029-1046, doi: https://doi.org/10.1007/s10726-018-9583-9 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR, handle: DIGIBUG, url: arXiv.
  15. Pérez-Sánchez, J.M., Salmerón, R. y Ocaña-Peinado, F.M. (2019). A Bayesian asymmetric logistic model of factors underlying team success in top-level basketball in Spain. Statistica Neerlandica, 73(1), 22-43, doi: https://doi.org/10.1111/stan.12127, url: PI UGR.
  16. García, C., Salmerón, R. y García, C.B. (2019). Choice of the ridge factor from the correlation matrix determinant. Journal of Statistical Computation and Simulation, 89(2), 211-231, doi: https://doi.org/10.1080/00949655.2018.1543423, url: PI UGR, handle: DIGIBUG.
  17. García, C.B., Salmerón, R. y García, J. (2019). Comment on “An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015” by Ma et al. (2017). Natural Hazards, 99(1), 609-610, doi: https://doi.org/10.1007/s11069-019-03750-w (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR.
  18. Salmerón, R., García, C.B. y García, J. (2020). Comment on “A Note on Collinearity Diagnostics and Centering” by Velilla (2018). American Statistician, 74(1), 68-71, doi: https://doi.org/10.1080/00031305.2019.1635527, url: PI UGR, handle: DIGIBUG.
  19. Salmerón, R., Rodríguez, A. y García, C.B. (2020). Diagnosis and quantification of the non-essential collinearity. Computational Statistics, 35(2), 647-666, doi: https://doi.org/10.1007/s00180-019-00922-x (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR, handle: DIGIBUG.
  20. García, C.B., Salmerón, R., García, C. y García, J. (2020). Residualization: justification, properties and application. Journal of Applied Statistics, 47(11), 1990-2010, doi: https://doi.org/10.1080/02664763.2019.1701638, url: PI UGR, handle: DIGIBUG.
  21. Salmerón, R., Rodríguez, A., García, C.B. y García, J. (2020). The VIF and MSE in raise regression. Mathematics, 8(4), doi: https://doi.org/10.3390/math8040605 (open access), url: PI UGR, handle: DIGIBUG.
  22. Salmerón, R., García, C.B. y García, J. (2020). Detection of near-multicollinearity through centered and noncentered regression. Mathematics, 8(6), doi: https://doi.org/10.3390/math8060931, url: PI UGR, handle: DIGIBUG.
  23. García, J., López-Martín, M.M., García, C. y Salmerón, R. (2020). A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies. International Statistical Review, 88(3), 776-792, doi: https://doi.org/10.1111/insr.12381, url: PI UGR, handle: DIGIBUG.
  24. Rodríguez, A., Salmerón, R. y García, C.B. (2021). Obtaining a threshold for the stewart index and its extension to ridge regression. Computational Statistics, 36(2), 1011-1029, doi: https://doi.org/10.1007/s00180-020-01047-2 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía (CBUA)), url: PI UGR.
  25. García, C., García, C.B. y Salmerón, R. (2021). Confronting collinearity in environmental regression models: evidence from world data. Statistical Methods and Applications, 30(3), 895-926, doi: https://doi.org/10.1007/s10260-021-00559-5 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía (CBUA)), url: PI UGR.
  26. Del Hierro, A., García, C.B. y Salmerón, R. (2021). Analysis of the condition number in the raise regression. Communications in Statistics - Theory and Methods, 50(24), 6195-6210, doi: https://doi.org/10.1080/03610926.2020.1740737, url: PI UGR.
  27. Salmerón, R., García, C.B. y García, J. (2021). A Guide to Using the R Package “multiColl” for Detecting Multicollinearity. Computational Economics, 57(), 529-536, doi: https://doi.org/10.1007/s10614-019-09967-y (access provided by Consorcio de Bibliotecas Universitarias de Andalucía/CBUA), url: PI UGR, handle: DIGIBUG, url: arXiv.
  28. Salmerón, R., García, C.B. y García, J. (2022). The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity. Computational Economics, 60(2), 439-450, doi: https://doi.org/10.1007/s10614-021-10154-1 (access provided by Consorcio de Bibliotecas Universitarias de Andalucía (CBUA)), url: PI UGR, handle: DIGIBUG, url: arXiv.
  29. Rodríguez, A., Salmerón, R. y García, C.B. (2022). The coefficient of determination in the ridge regression. Communications in Statistics - Simulation and Computation, 51(1), 201-219, doi: https://www.tandfonline.com/doi/full/10.1080/03610918.2019.1649421, url: PI UGR, handle: DIGIBUG.
  30. Salmerón, R., García, C.B., Rodríguez, A. y García, C. (2022). Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package. R Journal, 14(4), 264-279, doi: https://doi.org/10.32614/RJ-2023-010 (open access), url: PI UGR, handle: DIGIBUG.
  31. García, C.B., Salmerón, R. y García, J. (2022). A review of ridge parameter selection: minimization of the mean squared error vs mitigation of multicollinearity (online), doi: https://doi.org/10.1080/03610918.2022.2110594, url: PI UGR.
  32. Salmerón, R., García, C.B. y García, J. (2024). A redefined Variance Inflation Factor: overcoming the limitations of the Variance Inflation Factor. Computational Economics (online), doi: https://doi.org/10.1007/s10614-024-10575-8, url: arXiv.
  33. Salmerón, R., García, C.B. y García, J. (2024). The raise regression: justification, properties and application. International Statistical Review (online), doi: https://doi.org/10.1111/insr.12575, url: arXiv.

Working papers

  • "Generalized ridge regression: biased estimation for multiple linear regression models" con Catalina García y Guillermo Hortal.
  • "Generalized ridge regression: applications to nonorthogonal linear regression models" con Catalina García y Guillermo Hortal.
  • "Estimación de modelos mal condicionados mediante sumas de cuadrados de residuos penalizadas" con Catalina García, url: arXiv.
  • "Enlarging of the sample to address multicollinearity" con Ainara Rodríguez y Catalina García.
  • "Unraveling Residualization: enhancing its application and exposing its relationship with the FWL theorem" con Claudia García y Catalina García.
  • "Modelling Global Fossil CO2 Emissions with a Lognormal Distribution: A Climate Policy Tool" con Faustino Prieto y Catalina García, url: arXiv.
  • "How to Measure Sports Team Resilience: Developing a Team Resilience Index Based on Stressors in Professional Basketball" con Samuel Gómez Haro.

Paquetes en R