Nonstationary statistical tests in time-scale space

被引:0
|
作者
Hambaba, A [1 ]
机构
[1] NASA, Ames Res Ctr, NRC, Moffett Field, CA 94035 USA
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暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Detection and estimation of abrupt changes in a nonstationary environment is an important and challenging problem. A statistical test for selecting the order of a nonstationary AR model is presented based on wavelet vanishing moment and predictive least squares principle. The order of the nonstationary AR is estimated at a different resolution level, which makes the order reliable. Its confidence interval is also determined. The test is derived based on the order probability distribution of the wavelet approximation sequence.
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页码:373 / 379
页数:7
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