Se han encontrado 1348 registros.

91) Gómez-Rodríguez, M, Davila-Pena, L., Casas-Méndez, B. V. (2024). Cost allocation problems on highways with groups In: European Journal of Operational ResearchVol. 316. pp. 667-679. Elsevier. ISSN: 0377-2217 Google Scholar

92) Alonso-Pena, M.(2024). O conto das tres medidas. In: Boletín de la SGAPEIO (Informest)Vol. 67. pp. 2-5. ISSN: 1695-7083 Google Scholar

93) Ginzo-Villamayor, M.J.(2024). XI XORNADA DE USUARIOS R EN GALICIA PROGRAMA E RESUMOSISBN: 978-84-09-66122-0 Editors: Ginzo-Villamayor, MJ. Google Scholar

94) Saavedra-Nieves, P., Fernández Pérez, M. (2024). "Directional density-based clustering". In: Advances in Data Analysis and Classification. Google Scholar

95) Chauca-Bajaña, L., Pérez-Jardón, A., Vieira E Silva, F.F., Conde Amboage M., Velásquez-Ron, B., Padín-Iruegas, M. E., Pérez-Sayans, M. (2024). Root Coverage Techniques: Coronally Advancement Flap vs. Tunnel Technique: A Systematic Review and Meta-Analysis In: Dentistry JournalVol. 12. pp. 341. ISSN: 2304-6767 Google Scholar

96) Cuesta-Albertos, JA, García-Portugués, Eduardo, Febrero-Bande, M., González-Manteiga, W. (2024). Tests de bondad de ajuste para el modelo lineal funcional basados en proyecciones In: BEIO, Boletín de Estadística e Investigación OperativaVol. 40-3. pp. 439-467. ISSN: 1889-3805 Google Scholar

97) González-Rodríguez, B., Froger, A., Jabali, O., Naoum-Sawaya, . (2024). A continuous approximation model for the electric vehicle fleet sizing problem In: Mathematical ProgrammingSpringer. ISSN: 0025-5610 Google Scholar

98) Ameijeiras-Alonso, J., Einbeck, J. (2024). A fresh look at mean-shift based modal clustering In: Advances in Data Analysis and ClassificationVol. 18 (4). pp. 1067-1095. ISSN: 1862-5347 Google Scholar

99) MX Rodríguez-Álvarez(2024). A One-Stage Approach for the Spatio-temporal Analysis of High-Throughput Phenotyping Data In: Journal of Agricultural, Biological and Environmental Statistics Google Scholar

100) Conde Amboage M., Van Keilegom, I., González-Manteiga, W. (2023). Application of Quantile Regression Models for Biomedical Data. In: Larriba, Y. (eds) Statistical Methods at the Forefront of Biomedical Advances. Springer, Cham. . In: Google Scholar