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Nonparametric density estimation in presence of bias and censoring

✍ Scribed by E. Brunel; F. Comte; A. Guilloux


Book ID
107498111
Publisher
CrossRef test prefix
Year
2007
Tongue
English
Weight
574 KB
Volume
18
Category
Article
ISSN
1234-5678

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A class of kernel-based nonparametric density estimators with reduced bias is considered which is constructed from a multiplicative adjustment scheme. Estimators in the class are connected by a real parameter and an interesting fact is that the leading term of the bias is linear in and that of the v