Convergence rate of the kernel regression estimator for associated and truncated data

Z. Guessoum and F. Hamrani

Journal of Nonparametric Statistics, 2017, vol. 29, issue 2, 425-446

Abstract: This paper studies the behaviour of the kernel estimator of the regression function for associated data in the random left truncated model. The uniform strong consistency rate over a real compact set of the estimate is established. The finite sample performance of the estimator is investigated through extensive simulation studies.

Date: 2017
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DOI: 10.1080/10485252.2017.1303059

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