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On estimation of a density and its derivatives

✍ Scribed by K. F. Cheng


Publisher
Springer Japan
Year
1982
Tongue
English
Weight
486 KB
Volume
34
Category
Article
ISSN
0020-3157

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This paper presents convolution-based estimates of a probability density and its derivatives. The proposed estimates can handle either contaminated data or not and they comprehend some classical estimates such that kernel, regularization estimates. By putting these direct and indirect estimation pro