A suboptimal estimation algorithm based on smoothing B splines

被引:0
|
作者
D. A. Bezuglov
A. V. Sklyarov
R. A. Zabrodin
I. V. Reshetnikova
机构
[1] South Russia State University of Economics and Service,Rostov Service Institute
来源
Measurement Techniques | 2006年 / 49卷
关键词
estimation algorithm; smoothing; B spline; distribution;
D O I
暂无
中图分类号
学科分类号
摘要
Smoothing cubic normalized B splines are used in synthesizing a suboptimal algorithm for estimation on Bayes criteria, maximum likelihood, and a posteriori density without constraint on the gaussian behavior of the corresponding distribution densities. The potential accuracy of the algorithm is evaluated in accordance with the Cramer-Rao inequality.
引用
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页码:970 / 975
页数:5
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