E-Book, Englisch, 206 Seiten, eBook
Reihe: Contributions to Statistics
Härdle / Liang / Gao Partially Linear Models
Erscheinungsjahr 2012
ISBN: 978-3-642-57700-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 206 Seiten, eBook
Reihe: Contributions to Statistics
ISBN: 978-3-642-57700-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 Introduction.- 2 Estimation of The Parametric Component.- 3 Estimation of The Nonparametric Component.- 4 Estimation with Measurement Errors.- 5 Some Related Theoretic Topics.- 6 Partially Linear Time Series Models.- Appendix: Basic Lemmas.- Author Index.- Symbols and Notation.
