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AuthorHรคrdle, Wolfgang. author
TitlePartially Linear Models [electronic resource] / by Wolfgang Hรคrdle, Hua Liang, Jiti Gao
ImprintHeidelberg : Physica-Verlag HD : Imprint: Physica, 2000
Connect tohttp://dx.doi.org/10.1007/978-3-642-57700-0
Descript X, 206 p. online resource

SUMMARY

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


CONTENT

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


Mathematics Probabilities Statistics Econometrics Mathematics Probability Theory and Stochastic Processes Econometrics Statistical Theory and Methods



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