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A bandwidth selection for kernel density estimation of functions of random variables

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  • Mugdadi, A. R.
  • Ahmad, Ibrahim A.

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  • Mugdadi, A. R. & Ahmad, Ibrahim A., 2004. "A bandwidth selection for kernel density estimation of functions of random variables," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 49-62, August.
    • Handle: RePEc:eee:csdana:v:47:y:2004:i:1:p:49-62
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    References listed on IDEAS

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    1. A. Ahmad, Ibrahim & Fan, Yanqin, 2001. "Optimal bandwidths for kernel density estimators of functions of observations," Statistics & Probability Letters, Elsevier, vol. 51(3), pages 245-251, February.
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    Cited by:

    1. Christophe Chesneau & Fabienne Comte & Gwennaëlle Mabon & Fabien Navarro, 2014. "Estimation of Convolution In The Model with Noise," Working Papers 2014-39, Center for Research in Economics and Statistics.
    2. Benamar Bouyeddou & Fouzi Harrou & Bilal Taghezouit & Ying Sun & Amar Hadj Arab, 2022. "Improved Semi-Supervised Data-Mining-Based Schemes for Fault Detection in a Grid-Connected Photovoltaic System," Energies, MDPI, vol. 15(21), pages 1-22, October.
    3. Fang, Xiaoyu & Qu, Jianfeng & Chai, Yi, 2023. "Self-supervised intermittent fault detection for analog circuits guided by prior knowledge," Reliability Engineering and System Safety, Elsevier, vol. 233(C).

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    1. Christophe Chesneau & Fabienne Comte & Gwennaëlle Mabon & Fabien Navarro, 2014. "Estimation of Convolution In The Model with Noise," Working Papers 2014-39, Center for Research in Economics and Statistics.

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