The art of semiparametrics

Author(s)

Bibliographic Information

The art of semiparametrics

Stefan Sperlich, Wolfgang Härdle, Gökhan Aydinli (editors)

(Contributions to statistics)

Physica-Verlag, c2006

Available at  / 6 libraries

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Note

Includes bibliographical references

Description and Table of Contents

Description

This selection of articles emerged from different works presented "The Art of Semiparametrics" conference in 2003 in Berlin. It offers a collection of individual works that together show the large spectrum of semiparametric statistics. The book combines theoretical contributions with more applied and empirical studies. Although each article represents an original contribution to its own field, all are written in a self-contained way that may be read by non-experts.

Table of Contents

Asymptotic Theory for M-Estimators of Boundaries.- A Simple Deconvolving Kernel Density Estimator when Noise Is Gaussian.- Nonparametric Volatility Estimation on the Real Line from Low Frequency Data.- Linear Regression Models for Functional Data.- Penalized Binary Regression as Statistical Learning Tool for Microarray Analysis.- A Relaxed Iterative Projection Algorithm for Rank-Deficient Regression Problems.- About Sense and Nonsense of Non- and Semiparametric Analysis in Applied Economics.- Functional Nonparametric Statistics in Action.- Productivity Effects of IT-Outsourcing: Semiparametric Evidence for German Companies.- Nonparametric and Semiparametric Estimation of Additive Models with Both Discrete and Continuous Variables under Dependence.

by "Nielsen BookData"

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Details

  • NCID
    BA76691194
  • ISBN
    • 3790817007
  • Country Code
    gw
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Heidelberg
  • Pages/Volumes
    178 p.
  • Size
    24 cm
  • Classification
  • Parent Bibliography ID
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