Smoothing splines methods and applications

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline mo...

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Detalles Bibliográficos
Autor principal: Wang, Yuedong (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press c2011.
Edición:1st edition
Colección:Monographs on statistics and applied probability ; 121.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628248706719
Tabla de Contenidos:
  • Front Cover; Dedication; Contents; List of Tables; List of Figures; Symbol Description; Preface; 1. Introduction; 2. Smoothing Spline Regression; 3. Smoothing Parameter Selection and Inference; 4. Smoothing Spline ANOVA; 5. Spline Smoothing with Heteroscedastic and/or Correlated Errors; 6. Generalized Smoothing Spline ANOVA; 7. Smoothing Spline Nonlinear Regression; 8. Semiparametric Regression; 9. Semiparametric Mixed-Effects Models; A. Data Sets; B. Codes for Fitting Strictly Increasing Functions; C. Codes for Term Structure of Interest Rates; References