Partially Linear Models - Wolfgang Härdle,Jiti Gao,Hua Liang
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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 f ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Wolfgang Härdle, Jiti Gao, Hua Liang |
|---|---|
| Izdevējs | Physica-Verlag HD |
| Series | Contributions to Statistics |
| Izlaides gads | 2000 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783790813005 |