charity
发表于 2025-3-21 18:25:41
书目名称Singular Spectrum Analysis for Time Series影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0867913<br><br> <br><br>书目名称Singular Spectrum Analysis for Time Series读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0867913<br><br> <br><br>
知识
发表于 2025-3-21 23:22:48
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清澈
发表于 2025-3-22 00:58:36
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期满
发表于 2025-3-22 04:54:11
Nina Golyandina,Anatoly Zhigljavskygh this phenomenon has been the subject of intense laboratory investigation, assessment of its clinical relevance has been difficult. The majority of patients with acute myocardial infarction undergoing coronary thrombolysis and/or angioplasty, or even those patients with Prinzmetal’s angina have no
正面
发表于 2025-3-22 11:32:12
Introduction,Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing.
壮丽的去
发表于 2025-3-22 15:01:52
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engrave
发表于 2025-3-22 19:00:35
Nina Golyandina,Anatoly ZhigljavskyPresents the methodology of SSA.Shows how to use SSA both safely and with maximum effect.For professional statisticians, econometricians and specialists in any discipline.For students taking courses o
irreparable
发表于 2025-3-22 23:50:35
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PAGAN
发表于 2025-3-23 01:29:56
https://doi.org/10.1007/978-3-642-34913-3data analysis; forecasting; signal processing; singular value decomposition; time series
周年纪念日
发表于 2025-3-23 08:56:07
Singular Spectrum Analysis for Time Series978-3-642-34913-3Series ISSN 2191-544X Series E-ISSN 2191-5458