Smoothing Splines
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 mixed-effects models. It also presents methods for mo…
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Produktdetails
- ISBN: 978-1-4200-7756-8
- EAN: 9781420077568
- Produktnummer: 13920665
- Verlag: Crc Press
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 384 S.
- Plattform: PDF
- Masse: 0 KB
Über den Autor
Yuedong Wang is a professor and the chair of the Department of Statistics and Applied Probability at the University of California-Santa Barbara. Dr. Wang is an elected fellow of the ASA and ISI, a fellow of the RSS, and a member of IMS, IBS, and ICSA. His research covers the development of statistical methodology and its applications.
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