Strong uniform consistency of kernel probability density estimators based on sample moments

B. Abdous

Statistics & Probability Letters, 1989, vol. 8, issue 1, 73-79

Abstract: In this paper we study the uniform strong consistency of a class of kernel probability density estimators introduced by H.J. Bierens (1983). An estimator of this class is constructed in such a way that it is a probability density itself and its first and second moments equal the first and the second sample moments respectively.

Keywords: kernel; estimator; sample; moments; strong; uniform; consistency; window; width (search for similar items in EconPapers)
Date: 1989
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