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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… Click to show full abstract
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.
Keywords:
kernel regression;
regression;
estimator;
rate kernel;
convergence rate
Journal Title: Journal of Nonparametric Statistics
Year Published: 2017
Link to full text (if available)
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Journal Title: Journal of Nonparametric Statistics
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!