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Smoothing Splines: Methods and Applications (Chapman & Hall/CRC Monographs on Statistics & Applied Probability Book 121) by Yuedong Wang is a nonfiction available to read on EtoBox.

What is Smoothing Splines: Methods and Applications (Chapman & Hall/CRC Monographs on Statistics & Applied Probability Book 121) about?

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 model selection and inference. The book provides unified frameworks for estimation, inference, and software implementation by using the general forms of nonparametric/semiparametric, linear/nonlinear, and fixed/mixed smoothing spline models. The theory of reproducing kernel Hilbert space (RKHS) is used to present various smoothing spline models in a unified fashion. Although this approach can be technical and difficult, the author makes the advanced smoothing spline methodology based on RKHS accessible to practitioners and students. He offers

Who reads Smoothing Splines: Methods and Applications (Chapman & Hall/CRC Monographs on Statistics & Applied Probability Book 121)?

Author

Yuedong Wang

Publisher

CRC Press LLC

Published

2011

Language

EN

ISBN

9781420077551

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem