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Abstract：
Using compactly supported wavelets, Chaubey et al consider L-2-risk estimation for mixed density under multiplicative censoring (Chaubey YP, Chesneau C, Doosti H. Adaptive wavelet estimation of a density from mixtures under multiplicative censoring. Statistics, 2015, 49: 638-659). In this paper, we try to discuss L-p-risk (1 ＜= p＜infinity) estimation for that statistical model of the linear and nonlinear wavelet estimators respectively. Our results can be seen as an extension of the work of Chaubey et al.
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MATHEMATICAL METHODS IN THE APPLIED SCIENCES
ISSN： 0170-4214
Year： 2020
Issue： 2
Volume： 43
Page： 808-821
2 . 9 0 0
JCR@2022
ESI Discipline： MATHEMATICS;
ESI HC Threshold：46
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count：
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 8
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