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Nonparametric and Semiparametric Models

Nonparametric and Semiparametric Models

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Springer Series in Statistics

Nonparametric and Semiparametric Models

Wolfgang Karl Härdle | Marlene Müller | Stefan Sperlich | Axel Werwatz

Mathematics / Probability & Statistics / General

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.

 


Publication Date: 22 March 2004
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783540207221
Format: Hardback
Page Count: 300

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