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Y. P. Mack and H. G. Müller, “Derivative Estimation in Nonparametric Regression with Random Predictor,” Sankhya: The Indian Journal of Statistics (Series A), Vol. 51, No. 1, 1989, pp. 59-72.

has been cited by the following article:

• TITLE: Strong Consistency of Kernel Regression Estimate

  AUTHORS: Wenquan Cui, Meng Wei

  KEYWORDS: Kernel Regression Estimator; Bandwidth; Strong Pointwise Consistency

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.3, June 18, 2013

  ABSTRACT: In this paper, regression function estimation from independent and identically distributed data is considered. We establish strong pointwise consistency of the famous Nadaraya-Watson estimator under weaker conditions which permit to apply kernels with unbounded support and even not integrable ones and provide a general approach for constructing strongly consistent kernel estimates of regression functions.