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Estimation of a regression function by the parzen kernel-type density estimators

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  • Kazuo Noda

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  • Kazuo Noda, 1976. "Estimation of a regression function by the parzen kernel-type density estimators," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 28(1), pages 221-234, December.
    • Handle: RePEc:spr:aistmt:v:28:y:1976:i:1:p:221-234
    DOI: 10.1007/BF02504741
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    Cited by:

    1. Bernard Bercu & Sami Capderou & Gilles Durrieu, 2019. "Nonparametric recursive estimation of the derivative of the regression function with application to sea shores water quality," Statistical Inference for Stochastic Processes, Springer, vol. 22(1), pages 17-40, April.
    2. Joseph Ngatchou-Wandji & Marwa Ltaifa & Didier Alain Njamen Njomen & Jia Shen, 2022. "Nonparametric Estimation of the Density Function of the Distribution of the Noise in CHARN Models," Mathematics, MDPI, vol. 10(4), pages 1-20, February.
    3. Chung Y. Peter & Zhou Zhong-guo, 2012. "The Pricing of Time-Varying Exchange Rate Risk in the Stock Market: A Nonparametric Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-33, January.

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