Suchergebnisse - "Modelos Estadísticos"
-
1
Autoren: Chaudhuri, Somnath
Weitere Verfasser: University/Department: Universitat de Girona. Departament d'Economia
Thesis Advisors: Sáez Zafra, Marc, Juan Verdoy, Pablo
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Estadística espacial, Spatial statistics, Models estacionaris, Modelos estacionarios, Stationary models, Regions espacials complexes, Regiones espaciales complejas, Complex spatial regions, Models estadístics, Modelos estadísticos, Statistical models, Xarxes de carreteres urbanes, Redes de carreteras urbanas, Urban road networks, Integrated nested Laplace approximation (INLA), Stochastic partial differential equation (SPDE)
Time: 519.1
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/688971
-
2
Autoren: Escolá Gascon, Alex
Weitere Verfasser: University/Department: Universitat Ramon Llull. Departament de Psicologia
Thesis Advisors: Rusiñol Estragues, Jordi, Marín Torné, Francesc-Xavier, Gallifa Roca, Josep
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Fenómenos inexplicados, Experiencias anómalas, Percepciones anómalas, Psicometría, Creencias pseudocientíficas, Modelos estadísticos, Creencias paranormales, Ciències socials, periodisme i documentació
Time: 159.9
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/672176
-
3
Autoren: Luis Daniel Vázquez Valencia
Quelle: Andares: Revista de Derechos Humanos y de la Naturaleza, Iss 8 (2025)
-
4
Autoren: Pereañez, Marco
Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Thesis Advisors: Frangi Caregnato, Alejandro, Lekadir, Karim
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Active Shape Models, Cardiac magnetic resonance, Computed tomography, Conditional models, Magnetic resonance imaging, Model fusion, Patient metadata, Personalized medicine, Statistical shape models, Vertebral segmentation, Modelos de forma activa, Resonancia cardiaca del corazón, Tomografía computarizada, Modelos condicionales, Imagen de resonancia magnética, Fusion de modelos, Metadatos del paciente, Medicina personalizada, Modelos estadísticos de forma, Segmentación vertebras
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/441754
-
5
Autoren:
Quelle: Revista Ciencias Biomédicas, Vol 13, Iss 4 (2024)
Schlagwörter: Medicine (General), Modelos estadísticos, R5-920, Salud pública, Machine learning, Mortalidad fetal
-
6
Autoren:
Quelle: Ciencia y Educación, Vol 6, Iss 6 (2025)
-
7
Autoren: Miñarro Alonso, Antonio
Weitere Verfasser: University/Department: Universitat de Barcelona. Departament d'Estadística
Thesis Advisors: Oller i Sala, Josep Maria
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Models estadístics, Modelos estadísticos, Statistical models, Geometria diferencial, Geometría diferencial, Differential Geometry, Ciències Experimentals i Matemàtiques
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/31912
-
8
Autoren:
Weitere Verfasser:
Quelle: REDIUMH. Depósito Digital de la UMH
Universidad Miguel Hernández de ElcheSchlagwörter: CDU::6 - Ciencias aplicadas::65 - Gestión y organización. Administración y dirección de empresas. Publicidad. Relaciones públicas. Medios de comunicación de masas, selección de personal, juicios clínicos, modelos estadísticos, toma de decisiones, personnel selection, clinical judgments, statistical models, decision making
Dateibeschreibung: application/pdf
Zugangs-URL: https://hdl.handle.net/11000/35341
-
9
Autoren: et al.
Quelle: Archivos Latinoamericanos de Nutrición, Vol 73, Iss Supl. 2, Pp 151-161 (2023)
-
10
Autoren: Edwin Atilano-Robles
Quelle: Figuras Revista Académica de Investigación, Vol 5, Iss 1 (2023)
Schlagwörter: Modelos estadísticos, Ciencia política, Métodos cuantitativos, Architecture, Inferencia causal, Social Sciences, Law, NA1-9428
-
11
Autoren:
Quelle: Ciencia y Educación, Vol 6, Iss 1 (2025)
Schlagwörter: Rendimiento académico, Regresión logística, Modelos estadísticos, Social sciences (General), H1-99, Education
Dateibeschreibung: electronic resource
-
12
Autoren:
Quelle: Salud UIS; Vol. 57 (2025): Salud UIS ; Salud UIS; v. 57 (2025): Salud UIS ; 2145-8464 ; 0121-0807
Schlagwörter: Doença de Chagas, Análise Espacial, Modelos Estatísticos, Epidemiologia, Fenômenos Ecológicos e Ambientais, Vigilância em Saúde Pública, Enfermedad de Chagas, Análisis Espacial, Modelos Estadísticos, Epidemiología, Fenómenos Ecológicos y Ambientales, Vigilancia en Salud Pública, Chagas Disease, Spatial Analysis, Models, Statistical, Epidemiology, Ecological and Environmental Phenomena, Public Health Surveillance
Dateibeschreibung: application/pdf
Relation: https://revistas.uis.edu.co/index.php/revistasaluduis/article/view/16609/14509; https://revistas.uis.edu.co/index.php/revistasaluduis/article/view/16609
-
13
Autoren:
Weitere Verfasser:
Schlagwörter: 520 - Astronomía y ciencias afines::523 - Cuerpos y fenómenos celestes específicos, Galactic cosmic rays, Methane, Ozone, Multifractal analysis, Atmospheric ionisation, Space weather, Trace-gas variability, Rayos cósmicos -- Influencia en la atmósfera terrestre, Cosmic rays -- Influence on the atmosphere, Ionización atmosférica, Atmospheric ionization, Gases de efecto invernadero -- Modelos estadísticos, Greenhouse gases -- Statistical models, Multifractal analysis -- Applications in atmospheric sciences, Análisis multifractal — Aplicaciones en ciencias atmosféricas, Física heliosférica, Heliospheric physics, Modelos climáticos, Climate models, 1. Ciencias Naturales::1C. Ciencias físicas::1C03. Física de partículas y campos, 1. Ciencias Naturales::1C. Ciencias físicas::1C08. Astronomía, ODS 13: Acción por el Clima. Adoptar medidas urgentes para combatir el cambio climático y sus efectos
Dateibeschreibung: 21 páginas; application/pdf
Relation: Bianchi, S., 2020. fathon: A python package for a fast computation of detrendend fluctuation analysis and related algorithms. Journal of Open Source Software 5, 1828. doi:https://doi.org/10.21105/joss.01828.; Brune, W., Miller, D., Thames, A., Allen, H., Apel, E., Blake, D., Bui, T., Commane, R., Crounse, J., Daube, B., et al., 2020. Exploring oxidation in the remote free troposphere: Insights from atmospheric tomography (atom). Journal of Geophysical Research: Atmospheres 125, e2019JD031685. doi:https://doi.org/10.1029/2019JD031685.; Calisto, M., Usoskin, I., Rozanov, E., Peter, T., 2011. Influence of galactic cosmic rays on atmospheric compo sition and dynamics. Atmospheric Chemistry and Physics 11, 4547–4556. doi:https://doi.org/10.5194/ 503 acp-11-4547-2011.; Carslaw, K., Harrison, R., Kirkby, J., 2002. Cosmic rays, clouds, and climate. science,1732–1737. doi:https: 505 //doi.org/10.1126/science.1076964.; Catone, D., Castrovilli, M.C., Nicolanti, F., Satta, M., Cartoni, A., 2023. Formation of h 3 o+ and oh by co 2 and n 2 o trace gases in the atmospheric environment. Physical Chemistry Chemical Physics 25, 25619–25628. doi:https: //doi.org/10.1039/D3CP02427J.; Christodoulakis et al., 2019 J. Christodoulakis, C. Varotsos, H. Mavromichalaki, M. Efstathiou, M. Gerontidou On the link between atmospheric cloud parameters and cosmic rays J. Atmos. Sol.-Terr. Phys., 189 (2019), pp. 98-106, 10.1016/j.jastp.2019.04.012; Donnini, 2021 F. Donnini Cosmic ray nuclei: results from AMS-02 Phys. At. Nucl., 84 (6) (2021), pp. 956-965, 10.1134/S1063778821130081; Ellis, 2007 C. Ellis The sampling properties of hurst exponent estimates Phys. A, 375 (1) (2007), pp. 159-173, 10.1016/j.physa.2006.08.046; Friis-Christensen and Svensmark, 1997 E. Friis-Christensen, H. Svensmark What do we really know about the sun-climate connection? Adv. Space Res., 20 (4–5) (1997), pp. 913-921, 10.1016/S0273-1177(97)00499-7; Gong et al., 2025 S. Gong, L. Duan, J. Zhao, X. Wei, J. Feng, Z. Li Temporal correlation between positive-charged cosmic ray flux and solar polar field variation: Insights from delayed modulation analysis Phys. Rev. D, 111 (8) (2025), Article 083050, 10.1103/PhysRevD.111.083050; Gorjão et al., 2022 L.R. Gorjão, G. Hassan, J. Kurths, D. Witthaut MFDFA: Efficient multifractal detrended fluctuation analysis in python Comput. Phys. Comm., 273 (2022), Article 108254, 10.1016/j.cpc.2021.108254; Grenfell et al., 2007 J.L. Grenfell, J.M. Grießmeier, B. Patzer, H. Rauer, A. Segura, A. Stadelmann, B. Stracke, R. Titz, P. Von Paris Biomarker response to galactic cosmic ray-induced NO x and the methane greenhouse effect in the atmosphere of an earth-like planet orbiting an M dwarf star Astrobiology, 7 (1) (2007), pp. 208-221, 10.1089/ast.2006.0129; Grenfell et al., 2012 J.L. Grenfell, J.M. Grießmeier, P. von Paris, A.B.C. Patzer, H. Lammer, B. Stracke, S. Gebauer, F. Schreier, H. Rauer Response of atmospheric biomarkers to NO x-induced photochemistry generated by stellar cosmic rays for earth-like planets in the habitable zone of M dwarf stars Astrobiology, 12 (12) (2012), pp. 1109-1122, 10.1089/ast.2011.0682; Harrison et al., 2015 R.G. Harrison, K. Nicoll, Y. Takahashi, Y. Yair Focus on high energy particles and atmospheric processes Environ. Res. Lett., 10 (10) (2015), Article 100201, 10.1088/1748-9326/10/10/100201; Holt and Benfer, Jr., 2000 B. Holt, R.A. Benfer, Jr. Estimating missing data: an iterative regression approach J. Hum. Evol., 39 (3) (2000), pp. 289-296, 10.1006/jhev.2000.0418; Jackman et al., 2005 C.H. Jackman, M.T. DeLand, G.J. Labow, E.L. Fleming, D.K. Weisenstein, M.K. Ko, M. Sinnhuber, J. Anderson, J.M. Russell The influence of the several very large solar proton events in years 2000–2003 on the neutral middle atmosphere Adv. Space Res., 35 (3) (2005), pp. 445-450, 10.1016/j.asr.2004.09.006; Jackman et al., 2016 C.H. Jackman, D.R. Marsh, D.E. Kinnison, C.J. Mertens, E.L. Fleming Atmospheric changes caused by galactic cosmic rays over the period 1960–2010 Atmospheric Chem. Phys., 16 (9) (2016), pp. 5853-5866, 10.5194/acp-16-5853-2016; Jackman et al., 2007 C.H. Jackman, D.R. Marsh, F.M. Vitt, R.R. Garcia, E.L. Fleming, G.J. Labow, C.E. Randall, M. Lopez-Puertas, B. Funke Short-and medium-term atmospheric effects of very large solar proton events Atmospheric Chem. Phys. Discuss., 7 (4) (2007), pp. 10543-10588, 10.5194/acpd-7-10543-2007; Jeong and Oh, 2020 J. Jeong, S. Oh Seasonal variation of cosmic ray intensity observed by the oulu neutron monitor J. Astron. Space Sci., 37 (3) (2020), pp. 165-170, 10.5140/JASS.2020.37.3.165; Kantelhardt et al., 2002 J.W. Kantelhardt, S.A. Zschiegner, E. Koscielny-Bunde, S. Havlin, A. Bunde, H.E. Stanley Multifractal detrended fluctuation analysis of nonstationary time series Phys. A, 316 (1–4) (2002), pp. 87-114, 10.1016/S0378-4371(02)01383-3; Kirkby et al., 2011 J. Kirkby, J. Curtius, J. Almeida, E. Dunne, J. Duplissy, S. Ehrhart, A. Franchin, S. Gagné, L. Ickes, A. Kürten, et al. Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation Nature, 476 (7361) (2011), pp. 429-433, 10.1038/nature10343; Konopka et al., 2007 P. Konopka, A. Engel, B. Funke, R. Müller, J.U. Grooß, G. Günther, T. Wetter, G. Stiller, T. von Clarmann, N. Glatthor, et al. Ozone loss driven by nitrogen oxides and triggered by stratospheric warmings can outweigh the effect of halogens J. Geophys. Res.: Atmospheres, 112 (D5) (2007), 10.1029/2006JD007064; Maghrabi et al., 2015 A. Maghrabi, R. Alotaibi, M. Almutayri, M. Garawi Influence of the atmospheric mass on the high energy cosmic ray muons during a solar cycle Adv. Astron., 2015 (1) (2015), Article 939146, 10.1155/2015/939146; Maghrabi et al., 2023 A.H. Maghrabi, S.A. Alzahrani, A.S. Alruhaili The role of atmospheric pressure, temperature, and humidity on cosmic ray muons at a low latitude station Int. J. Astron. Astrophys., 13 (3) (2023), pp. 236-258, 10.4236/ijaa.2023.133014; Maliniemi et al., 2021 V. Maliniemi, H. Nesse Tyssøy, C. Smith-Johnsen, P. Arsenovic, D.R. Marsh Effects of enhanced downwelling of NO x on antarctic upper-stratospheric ozone in the 21st century Atmospheric Chem. Phys., 21 (14) (2021), pp. 11041-11052, 10.5194/acp-21-11041-2021; Marsh and Svensmark, 2000 N. Marsh, H. Svensmark Cosmic rays, clouds, and climate Space Sci. Rev., 94 (1) (2000), pp. 215-230, 10.1023/A:1026723423896; Matthes et al., 2017 K. Matthes, B. Funke, M.E. Andersson, L. Barnard, J. Beer, P. Charbonneau, M.A. Clilverd, T. Dudok de Wit, M. Haberreiter, A. Hendry, et al. Solar forcing for CMIP6 (v3. 2) Geosci. Model. Dev., 10 (6) (2017), pp. 2247-2302, 10.5194/gmd-10-2247-2017; Meng et al., 1997 Z. Meng, D. Dabdub, J.H. Seinfeld Chemical coupling between atmospheric ozone and particulate matter Science, 277 (5322) (1997), pp. 116-119, 10.1126/science.277.5322.116; Mielniczuk and Wojdyłło, 2007 J. Mielniczuk, P. Wojdyłło Estimation of hurst exponent revisited Comput. Statist. Data Anal., 51 (9) (2007), pp. 4510-4525, 10.1016/j.csda.2006.07.033; Miyahara et al., 2023 H. Miyahara, K. Kusano, R. Kataoka, S.-i. Shima, E. Touber Response of high-altitude clouds to the galactic cosmic ray cycles in tropical regions Front. Earth Sci., 11 (2023), Article 1157753, 10.3389/feart.2023.1157753; E. Molino-Minero-Re, F. García-Nocetti, H. Benítez-Pérez Application of a time-scale local hurst exponent analysis to time series Digit. Signal Process., 37 (2015), pp. 92-99, 10.1016/j.dsp.2014.11.007; Naik et al., 2013 V. Naik, A. Voulgarakis, A.M. Fiore, L.W. Horowitz, J.F. Lamarque, M. Lin, M.J. Prather, P. Young, D. Bergmann, P. Cameron-Smith, et al. Preindustrial to present-day changes in tropospheric hydroxyl radical and methane lifetime from the atmospheric chemistry and climate model intercomparison project (ACCMIP) Atmospheric Chem. Phys., 13 (10) (2013), pp. 5277-5298, 10.5194/acp-13-5277-2013; Nikfalazar et al., 2020 S. Nikfalazar, C.H. Yeh, S. Bedingfield, H.A. Khorshidi Missing data imputation using decision trees and fuzzy clustering with iterative learning Knowl. Inf. Syst., 62 (6) (2020), pp. 2419-2437, 10.1007/s10115-019-01427-1; Oświȩcimka et al., 2014 P. Oświȩcimka, S. Drożdż, M. Forczek, S. Jadach, J. Kwapień Detrended cross-correlation analysis consistently extended to multifractality Phys. Rev. E, 89 (2) (2014), Article 023305, 10.1103/PhysRevE.89.023305; Pierce, 2017 J. Pierce Cosmic rays, aerosols, clouds, and climate: Recent findings from the CLOUD experiment J. Geophys. Res.: Atmospheres, 122 (15) (2017), pp. 8051-8055, 10.1002/2017JD027475; Podobnik and Stanley, 2008 B. Podobnik, H.E. Stanley Detrended cross-correlation analysis: A new method for analyzing two nonstationary time series Phys. Rev. Lett., 100 (8) (2008), Article 084102, 10.1103/PhysRevLett.100.084102; Portmann et al., 2012 R. Portmann, J. Daniel, A. Ravishankara Stratospheric ozone depletion due to nitrous oxide: influences of other gases Phil. Trans. R. Soc. B, 367 (1593) (2012), pp. 1256-1264, 10.1098/rstb.2011.0377; Prather and Hsu, 2010 M.J. Prather, J. Hsu Coupling of nitrous oxide and methane by global atmospheric chemistry Science, 330 (6006) (2010), pp. 952-954, 10.1126/science.1196285; Riádigos et al., 2022 I. Riádigos, D. González-Díaz, V. Pérez-Muñuzuri Revisiting the limits of atmospheric temperature retrieval from cosmic-ray measurements Earth Space Sci., 9 (3) (2022), 10.1029/2021EA001982; Satta et al., 2024 M. Satta, D. Catone, M.C. Castrovilli, F. Nicolanti, A. Cartoni Ionic route to atmospheric relevant HO2 and protonated formaldehyde from methanol cation and O2 Molecules, 29 (7) (2024), p. 1484, 10.3390/molecules29071484; Scheucher et al., 2018 M. Scheucher, J.L. Grenfell, F. Wunderlich, M. Godolt, F. Schreier, H. Rauer New insights into cosmic-ray-induced biosignature chemistry in earth-like atmospheres Astrophys. J., 863 (1) (2018), p. 6, 10.3847/1538-4357/aacf03; Schnadt et al., 2002 C. Schnadt, M. Dameris, M. Ponater, R. Hein, V. Grewe, B. Steil Interaction of atmospheric chemistry and climate and its impact on stratospheric ozone Clim. Dyn., 18 (2002), pp. 501-517, 10.1007/s00382-001-0190-z; Seinfeld and Pandis, 2016 J.H. Seinfeld, S.N. Pandis Atmospheric Chemistry and Physics: From Air Pollution to Climate Change (third ed.), Wiley (2016); Sierra-Porta, 2022 D. Sierra-Porta On the fractal properties of cosmic rays and sun dynamics cross-correlations Astrophys. Space Sci., 367 (12) (2022), p. 116, 10.1007/s10509-022-04151-5; Sierra-Porta, 2025 D. Sierra-Porta Multifractal detrended cross-correlation coefficient for cosmic ray and sunspot time series J. Atmos. Sol.-Terr. Phys., 266 (2025), Article 106407, 10.1016/j.jastp.2024.106407; Sierra-Porta and Domínguez-Monterroza, 2022 D. Sierra-Porta, A.-R. Domínguez-Monterroza Linking cosmic ray intensities to cutoff rigidity through multifractal detrented fluctuation analysis Phys. A, 607 (2022), Article 128159, 10.1016/j.physa.2022.128159; Svensmark and Friis-Christensen, 1997 H. Svensmark, E. Friis-Christensen Variation of cosmic ray flux and global cloud coverage—a missing link in solar-climate relationships J. Atmos. Sol.-Terr. Phys., 59 (11) (1997), pp. 1225-1232, 10.1016/S1364-6826(97)00001-1; Tabataba-Vakili et al., 2016 F. Tabataba-Vakili, J. Grenfell, J.-M. Grießmeier, H. Rauer Atmospheric effects of stellar cosmic rays on earth-like exoplanets orbiting M-dwarfs Astron. Astrophys., 585 (2016), p. A96, 10.1051/0004-6361/201425602; Tomassetti et al., 2022 N. Tomassetti, B. Bertucci, E. Fiandrini Temporal evolution and rigidity dependence of the solar modulation lag of galactic cosmic rays Phys. Rev. D, 106 (10) (2022), Article 103022, 10.1103/PhysRevD.106.103022; Utomo, 2017 Y. Utomo Correlation analysis of solar constant, solar activity and cosmic ray J. Phys.: Conf. Ser., 817 (1) (2017), Article 012045, 10.1088/1742-6596/817/1/012045; Varotsos et al., 2023a C. Varotsos, G. Golitsyn, M. Efstathiou, N. Sarlis A new method of nowcasting extreme cosmic ray events Remote. Sens. Lett., 14 (6) (2023), pp. 576-584, 10.1080/2150704X.2022.2057204; Varotsos et al., 2024 C. Varotsos, G. Golitsyn, Y. Mazei, N. Sarlis, Y. Xue, H. Mavromichalaki, M. Efstathiou On the observed time evolution of cosmic rays in a new time domain Acta Astronaut., 225 (2024), pp. 436-443, 10.1016/j.actaastro.2024.09.034; Varotsos et al., 2023b C. Varotsos, G. Golitsyn, Y. Xue, M. Efstathiou, N. Sarlis, T. Voronova On the relation between rain, clouds, and cosmic rays Remote. Sens. Lett., 14 (3) (2023), pp. 301-312, 10.1080/2150704X.2023.2190468; Zebende and da Silva Filho, 2018 G. Zebende, A. da Silva Filho Detrended multiple cross-correlation coefficient Phys. A, 510 (2018), pp. 91-97, 10.1016/j.physa.2018.06.119; Zhou, 2008 W.X. Zhou Multifractal detrended cross-correlation analysis for two nonstationary signals Phys. Rev. E—Statistical, Nonlinear, Soft Matter Phys., 77 (6) (2008), Article 066211, 10.1103/PhysRevE.77.066211; https://hdl.handle.net/20.500.12585/14269; https://doi.org/10.1016/j.jastp.2025.106661
-
14
Autoren: et al.
Quelle: SADIO Electronic Journal of Information and Operation Research 24 (2) : 18-32. (2025)
Schlagwörter: Vicia villosa, Rendimiento, Imágenes por Satélites, Modelos Estadísticos, Yields, Satellite Imagery, Statistical Models
Dateibeschreibung: application/pdf
Relation: https://hdl.handle.net/20.500.12123/22746; https://revistas.unlp.edu.ar/ejs/article/view/18959; https://doi.org/10.24215/15146774e076
-
15
Autoren:
Quelle: Ciencia y Educación; Vol. 6 No. 1 (2025): Enero; 205 - 218 ; Ciencia y Educación; Vol. 6 Núm. 1 (2025): Enero; 205 - 218 ; 2790-8402 ; 2707-3378
Schlagwörter: Academic performance, Logistic regression, Statistical models, Rendimiento académico, Regresión logística, Modelos estadísticos
Dateibeschreibung: application/pdf; text/html
Relation: https://www.cienciayeducacion.com/index.php/journal/article/view/zenodo.17252315/1806; https://www.cienciayeducacion.com/index.php/journal/article/view/zenodo.17252315/1807; https://www.cienciayeducacion.com/index.php/journal/article/view/zenodo.17252315
-
16
Autoren:
Quelle: Brazilian Journal of Production Engineering; v. 11 n. 2 (2025): Número Regular (Abril - Junho); 36-58 ; Brazilian Journal of Production Engineering; Vol. 11 Núm. 2 (2025): Edición regular (abril - junio); 36-58 ; Brazilian Journal of Production Engineering; Vol. 11 No. 2 (2025): Regular Issue (April - June); 36-58 ; 2447-5580 ; 10.47456/bjpe.v11i2
Schlagwörter: Machine Learning, Previsão, Modelos estatísticos, Planejamento de recursos, Forecasting, Statistical Models, Resource Planning, Aprendizaje Automático, Pronóstico, Modelos estadísticos, Planificación de Recursos
Dateibeschreibung: application/pdf; audio/mpeg; image/png
Relation: https://periodicos.ufes.br/bjpe/article/view/47358/33463; https://periodicos.ufes.br/bjpe/article/view/47358/33459; https://periodicos.ufes.br/bjpe/article/view/47358/33460; https://periodicos.ufes.br/bjpe/article/view/47358/33461; https://periodicos.ufes.br/bjpe/article/view/47358/33462; https://periodicos.ufes.br/bjpe/article/view/47358
-
17
Autoren: Ramos Sanz, Alba
Quelle: Vivienda y Comunidades Sustentables; No. 18 (2025): Vivienda y Comunidades Sustentables; 9-26 ; Vivienda y Comunidades Sustentables; Núm. 18 (2025): Vivienda y Comunidades Sustentables; 9-26 ; 2594-0198 ; 10.32870/rvcs.v0i18
Schlagwörter: empirical models, statistical models, buildings, inside temperature, modelos empíricos, modelos estadísticos, edificaciones, temperatura interior
Dateibeschreibung: application/pdf
Relation: https://revistavivienda.cuaad.udg.mx/index.php/rv/article/view/298/695; https://revistavivienda.cuaad.udg.mx/index.php/rv/article/view/298
-
18
Weitere Verfasser: et al.
Quelle: Revista Vive; Vol. 8 Núm. 23 (2025): Revista de Salud Vive; 456 - 468 ; 2664-3243
Schlagwörter: Preventive and educational strategies, Body mass index, Nonlinear statistical models, Childhood obesity, Waist circumference, Metabolic risk, Estrategias preventivas y educativas, Índice de masa corporal, Modelos estadísticos no lineales, Obesidad infantil, Perímetro de cintura, Riesgo metabólico
Dateibeschreibung: application/pdf
Relation: https://revistavive.org/index.php/revistavive/article/view/619/1446; https://revistavive.org/index.php/revistavive/article/view/619
-
19
Autoren:
Quelle: Infraestructura Vial; Vol. 22 No. 40 (2020): Journal 40, December 2020-January 2021; 1-10 ; Infraestructura Vial; Vol. 22 Núm. 40 (2020): Revista 40, Diciembre 2020-Enero 2021; 1-10 ; 2215-3705 ; 1409-4045 ; 10.15517/t114ed05
Schlagwörter: Road crashes, Statistical Models, Road safety, Excesses of crashes, Choques viales, Modelos Estadísticos, Seguridad vial, Exceso de choques
Dateibeschreibung: application/pdf
Relation: https://revistas.ucr.ac.cr/index.php/rvial/article/view/3818/4261; https://revistas.ucr.ac.cr/index.php/rvial/article/view/3818
-
20
Autoren: et al.
Quelle: Revista Mexicana de Ciencias Pecuarias, Vol 14, Iss 3 (2023)
Nájsť tento článok vo Web of Science
Full Text Finder