Nonparametric and Semiparametric Models (Springer Series in Statistics) - Hardcover

Härdle, Wolfgang Karl; Müller, Marlene; Sperlich, Stefan; Werwatz, Axel

 
9783540207221: Nonparametric and Semiparametric Models (Springer Series in Statistics)
Hardcover
ISBN 10: 3540207228 ISBN 13: 9783540207221
Publisher: Springer, 2004

Synopsis

The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure.

The aim of this monograph is to present the statistical and mathematical principles of smoothing with a focus on applicable techniques. The necessary mathematical treatment is easily understandable and a wide variety of interactive smoothing examples are given.

 

"synopsis" may belong to another edition of this title.

From the Back Cover

The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. The book considers high dimensional objects, as density functions and regression. The semiparametric modeling technique compromises the two aims, flexibility and simplicity of statistical procedures, by introducing partial parametric components. These components allow to match structural conditions like e.g. linearity in some variables and may be used to model the influence of discrete variables.

The aim of this monograph is to present the statistical and mathematical principles of smoothing with a focus on applicable techniques. The necessary mathematical treatment is easily understandable and a wide variety of interactive smoothing examples are given.

The book does naturally split into two parts: Nonparametric models (histogram, kernel density estimation, nonparametric regression) and semiparametric models (generalized regression, single index models, generalized partial linear models, additive and generalized additive models). The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers.

The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2004
Language
English
ISBN 10 
3540207228
ISBN 13 
9783540207221
Binding
Hardcover
Number of pages
327

Other Popular Editions of the Same Title

9783642620768: Nonparametric and Semiparametric Models (Springer Series in Statistics)

Featured Edition

ISBN 10:  3642620760 ISBN 13:  9783642620768
Publisher: Springer, 2012
Softcover