Contributions to Statistics

Partially Linear Models

Authors: Härdle, Wolfgang, Liang, Hua, Gao, Jiti

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About this book

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.

Table of contents (6 chapters)

  • Introduction

    Härdle, Wolfgang (et al.)

    Pages 1-18

  • Estimation of the Parametric Component

    Härdle, Wolfgang (et al.)

    Pages 19-44

  • Estimation of the Nonparametric Component

    Härdle, Wolfgang (et al.)

    Pages 45-54

  • Estimation with Measurement Errors

    Härdle, Wolfgang (et al.)

    Pages 55-75

  • Some Related Theoretic Topics

    Härdle, Wolfgang (et al.)

    Pages 77-126

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-57700-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.00
price for USA
  • ISBN 978-3-7908-1300-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Partially Linear Models
Authors
Series Title
Contributions to Statistics
Copyright
2000
Publisher
Physica-Verlag Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-57700-0
DOI
10.1007/978-3-642-57700-0
Softcover ISBN
978-3-7908-1300-5
Series ISSN
1431-1968
Edition Number
1
Number of Pages
X, 206
Topics