Buch, Englisch, 206 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 335 g
Reihe: Contributions to Statistics
Buch, Englisch, 206 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 335 g
Reihe: Contributions to Statistics
ISBN: 978-3-7908-1300-5
Verlag: Physica-Verlag HD
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.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Algebra Homologische Algebra
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
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.
