文章基本信息

标题：Estimation of the Derivatives of a Function in a Convolution Regression Model with Random Design
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作者：Christophe Chesneau ; Maher Kachour
期刊名称：Advances in Statistics
印刷版ISSN：2356-6892
出版年度：2015
卷号：2015
DOI：10.1155/2015/695904
出版社：Hindawi Publishing Corporation
摘要：A convolution regression model with random design is considered. We investigate the estimation of the derivatives of an unknown function, element of the convolution product. We introduce new estimators based on wavelet methods and provide theoretical guarantees on their good performances.