Datos Identificativos | 2024/25 | |||||||||||||
Asignatura | Análise Estatística de Datos Complexos | Código | 614G02031 | |||||||||||
Titulación |
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Descriptores | Ciclo | Período | Curso | Tipo | Créditos | |||||||||
Grao | 1º cuadrimestre |
Cuarto | Optativa | 6 | ||||||||||
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Bibliografía básica |
Hosmer D. W., Lemeshow S., May S. (2008). Applied survival analysis: regression modeling of time-to-event data. Wiley-Interscience Cox D. R. (2005). Some sampling problems in technology. . Selected Statistical Papers of Sir David Cox Lee E. T., Wang J. W. (2013). Statistical Methods for Survival Data Analysis. 4th Edition. Wiley Little R. J., Rubin D. B. (2019). Statistical analysis with missing data (Vol. 793). John Wiley & Sons Ramsay J. O., Silverman B. W. (2005). Functional Data Analysis. 2nd Edition. Springer Ferraty F., Vieu P. (2006). Nonparametric functional data analysis : theory and practice. Springer Qin J. (2017). Biased sampling, over-identified parameter problems and beyond (Vol. 5). Springer |
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Bibliografía complementaria |
Van Buuren, S. (2018). Flexible imputation of missing data. CRC Press Febrero-Bande M, Oviedo de la Fuente M. (2012). Statistical Computing in Functional Data Analysis: The R Package fda.usc. Journal of Statistical Software, 51(4), 1–28 Therneau T. M., Grambsch P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer Therneau T. (2021). A Package for Survival Analysis in R. CRAN |
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