Datos Identificativos | 2023/24 | |||||||||||||
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 |
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 Hosmer D. W., Lemeshow S., May S. (2008). Applied survival analysis: regression modeling of time-to-event data. Wiley-Interscience Lee E. T., Wang J. W. (2013). Statistical Methods for Survival Data Analysis. 4th Edition. Wiley Qin J. (2017). Biased sampling, over-identified parameter problems and beyond (Vol. 5). Springer Cox D. R. (2005). Some sampling problems in technology. . Selected Statistical Papers of Sir David Cox |
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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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