Smoothing Spline ANOVA Models
Seiten
2002
Springer-Verlag New York Inc.
978-0-387-95353-3 (ISBN)
Springer-Verlag New York Inc.
978-0-387-95353-3 (ISBN)
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Presents a treatment of penalty smoothing under a unified framework. This book develops methods for: regression with Gaussian and non-Gaussian responses as well as with censored life time data; density and conditional density estimation under a variety of sampling schemes; and, hazard rate estimation with censored life time data and covariates.
Smoothing methods are an active area of research. In this book, the author presents a comprehensive treatment of penalty smoothing under a unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses as well as with censored life time data; (ii) density and conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates. Extensive discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical tools discussed in the book are implemented in R, an open-source clone of the popular S/S- PLUS language.
Smoothing methods are an active area of research. In this book, the author presents a comprehensive treatment of penalty smoothing under a unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses as well as with censored life time data; (ii) density and conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates. Extensive discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical tools discussed in the book are implemented in R, an open-source clone of the popular S/S- PLUS language.
Introduction.- Model Construction.- Regression with Gaussian Type Responses.- More Splines.- Regression with Exponential Families.- Probability Density Estimation.- Hazard Rate Estimation.- Asymptotic Convergence.
| Erscheint lt. Verlag | 1.2.2002 |
|---|---|
| Reihe/Serie | Springer Series in Statistics |
| Zusatzinfo | 1, black & white illustrations |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 609 g |
| Einbandart | gebunden |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| ISBN-10 | 0-387-95353-1 / 0387953531 |
| ISBN-13 | 978-0-387-95353-3 / 9780387953533 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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