A new class of boundary kernels for distribution function estimation
Carlos Tenreiro
Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 21, 5319-5332
Abstract:
In this note we introduce a new class of boundary kernels for distribution function estimation which shows itself to be especially performing when the classical kernel distribution function estimator suffers from severe boundary problems.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:21:p:5319-5332
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DOI: 10.1080/03610926.2017.1390131
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