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Journal of Statistical Computation and Simulation Volume 79, 2009 - Issue 12
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Original Articles

A simple bootstrap bandwidth selector for local polynomial fitting

Yuanhua Feng Faculty of Business Administration and Economics, University of Paderborn, 33098, Paderborn, GermanyCorrespondence[email protected]
&
Siegfried Heiler Department of Economics, University of Konstanz, 78457, Konstanz, Germany
Pages 1425-1439 | Received 31 Jan 2007, Published online: 27 Oct 2009

Citations (7)

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Read on this site (3)

Yuanhua Feng, Thomas Gries & Marlon Fritz. (2020) Data-driven local polynomial for the trend and its derivatives in economic time series. Journal of Nonparametric Statistics 32:2, pages 510-533.
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K. Żychaluk. (2014) Bootstrap bandwidth selection method for local linear estimator in exponential family models. Journal of Nonparametric Statistics 26:2, pages 305-319.
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Yuanhua Feng. (2013) An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method. Journal of Applied Statistics 40:2, pages 266-281.
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Articles from other publishers (4)

Marwah Yahya Mustafa & Zakariya Yahya Algamal. (2021) Smoothing parameter selection in kernel nonparametric regression using bat optimization algorithm. Journal of Physics: Conference Series 1897:1, pages 012010.
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Inés Barbeito & Ricardo Cao. (2019) Nonparametric curve estimation and bootstrap bandwidth selection. WIREs Computational Statistics 12:3.
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Marlon Fritz, Thomas Gries & Yuanhua Feng. (2019) Growth Trends and Systematic Patterns of Booms and Busts-Testing 200 Years of Business Cycle Dynamics. Oxford Bulletin of Economics and Statistics 81:1, pages 62-78.
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Jan Beran, Yuanhua Feng & Siegfried Heiler. (2009) Modifying the double smoothing bandwidth selector in nonparametric regression. Statistical Methodology 6:5, pages 447-465.
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