A Functional Central Limit Theorem for Kernel Type Density Estimators
DOI:
https://doi.org/10.17713/ajs.v35i4.351Abstract
Kernel type density estimators are studied for random fields. A functional central limit theorem in the space of square integrable functions is proved if the locations of observations become more and more dense in an increasing sequence of domains.
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