Partially Linear Models / by Wolfgang Härdle, Hua Liang, Jiti Gao
(Contributions to Statistics)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Heidelberg : Physica-Verlag HD : Imprint: Physica |
| 出版年 | 2000 |
| 本文言語 | 英語 |
| 大きさ | X, 206 p : online resource |
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| 内容注記 | 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 |
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| 一般注記 | 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 |
| 著者標目 | *Härdle, Wolfgang author Liang, Hua author Gao, Jiti author SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics LCSH:Probabilities LCSH:Statistics LCSH:Econometrics FREE:Mathematics FREE:Probability Theory and Stochastic Processes FREE:Econometrics FREE:Statistical Theory and Methods |
| 分 類 | DC23:519.2 |
| 巻冊次 | ISBN:9783642577000 
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| ISBN | 9783642577000 |
| URL | http://dx.doi.org/10.1007/978-3-642-57700-0 |
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