Partially Linear Models
Professor Dr. Wolfgang Härdle, Professor Dr. Hua Liang, Professor Dr. Jiti Gao (auth.)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.
年:
2000
出版:
1
出版社:
Physica-Verlag Heidelberg
语言:
english
页:
206
ISBN 10:
3790813001
ISBN 13:
9783790813005
系列:
Contributions to Statistics
文件:
PDF, 14.19 MB
IPFS:
,
english, 2000
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