Auditory-Nerve 发表于 2025-3-21 20:07:59
书目名称Multivariate Analysemethoden影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0641261<br><br> <br><br>书目名称Multivariate Analysemethoden读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0641261<br><br> <br><br>Talkative 发表于 2025-3-21 22:11:29
Multivariate Analysemethoden978-3-662-08893-7Series ISSN 0937-7433 Series E-ISSN 2512-5214CLASH 发表于 2025-3-22 02:11:25
0937-7433 Overview: Keine Vorkenntnisse erforderlich.Anwendungsorientierte Darstellung mit ausführlichen Beispielen.Jetzt mit Bildschirmmasken für SPSS für Windows978-3-662-08893-7Series ISSN 0937-7433 Series E-ISSN 2512-5214四指套 发表于 2025-3-22 07:37:59
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School Organizational Values: The Driving Force for Effectiveness and Changek-orientation, Elitism, Innovation, Consideration, Egalitarianism, Conservatism, Conformity, and Self-direction. A study was conducted to test for the empirical structure of the inter-relationships among these values, based on the premise that the relations among these values may align along four axNuance 发表于 2025-3-23 05:06:35
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,Lévy Noise-Driven Langevin Equation and Its Time Series–Based Reconstruction,rocesses. Then, we provide the details of the limit theorems for the Wiener and Lévy processes. Finally, non-parametric reconstruction of the Lévy-driven Langevin dynamics from time series is described.