Partially Linear Models
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.
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Partially Linear Models
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.
54.99
In Stock
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Partially Linear Models
206
Partially Linear Models
206Paperback(Softcover reprint of the original 1st ed. 2000)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783790813005 |
|---|---|
| Publisher: | Physica-Verlag HD |
| Publication date: | 09/14/2000 |
| Series: | Contributions to Statistics |
| Edition description: | Softcover reprint of the original 1st ed. 2000 |
| Pages: | 206 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
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