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Partially Linear Models

Partially Linear Models
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Field name Details
Dewey Class 519.2
Title Partially Linear Models ([EBook]) / by Wolfgang Härdle, Hua Liang, Jiti Gao.
Author Härdle, Wolfgang. , 1953-
Added Personal Name Liang, Hua
Gao, Jiti
Other name(s) SpringerLink (Online service)
Publication Heidelberg : Physica-Verlag HD , 2000.
Physical Details X, 206 pages : online resource.
Series Contributions to Statistics 1431-1968
ISBN 9783642577000
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-3-642-57700-0
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