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
Descripción
Sumario: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 models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mix
Notas:"A Chapman & Hall book"--T.p.
Descripción Física:1 online resource (380 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429146923
9781283311465
9786613311467
9781420077568