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Nonparametric and Semiparametric Models [Hardcover]

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Item description for Nonparametric and Semiparametric Models by Wolfgang Härdle...

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

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Item Specifications...

Pages   300
Est. Packaging Dimensions:   Length: 9.37" Width: 6.38" Height: 0.94"
Weight:   1.32 lbs.
Binding  Hardcover
Release Date   May 14, 2004
Publisher   Springer
ISBN  3540207228  
ISBN13  9783540207221  

Availability  56 units.
Availability accurate as of Oct 27, 2016 03:08.
Usually ships within one to two business days from La Vergne, TN.
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