Performance of the difference-based Liu-type estimator in partially linear model
Jibo Wu
Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 12, 2979-2987
Abstract:
This paper discusses the parameter estimation in a partially linear model. We proposed a difference-based Liu-type estimator of the unknown parameters in the partially linear model. The asymptotically properties of the proposed estimator are discussed. We propose a iterative method to choose the biasing parameters. Finally, a simulation study and a numerical example are presented to explain the performance of the estimators.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:12:p:2979-2987
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DOI: 10.1080/03610926.2017.1346804
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