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Statistics
A Journal of Theoretical and Applied Statistics
Volume 35, 2001 - Issue 2
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Original Articles

Relative efficiency of local bandwidths in kernel density estimation

Pages 113-137 | Published online: 27 Jun 2007

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Nabil Zougab, Smail Adjabi & Célestin C. Kokonendji. (2016) Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches. Journal of Statistical Theory and Practice 10:1, pages 133-153.
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Articles from other publishers (4)

Francesco Giordano & Maria Lucia Parrella. (2014) Global adaptive smoothing regression. Electronic Journal of Statistics 8:2.
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M. Oliveira, R.M. Crujeiras & A. Rodríguez-Casal. (2012) A plug-in rule for bandwidth selection in circular density estimation. Computational Statistics & Data Analysis 56:12, pages 3898-3908.
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Shuowen Hu, D.S. Poskitt & Xibin Zhang. (2012) Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions. Computational Statistics & Data Analysis 56:3, pages 732-740.
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José E. Chacón. (2009) Data‐driven choice of the smoothing parametrization for kernel density estimators. Canadian Journal of Statistics 37:2, pages 249-265.
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