firearm
发表于 2025-3-21 17:06:44
书目名称Monte-Carlo Simulation-Based Statistical Modeling影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0639139<br><br> <br><br>书目名称Monte-Carlo Simulation-Based Statistical Modeling读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0639139<br><br> <br><br>
爵士乐
发表于 2025-3-21 20:17:34
https://doi.org/10.1007/978-981-10-3307-0Monte-Carlo Techniques; Statistical Modelling; Importance Sampling; Multiple Integration; Simulation; Eff
Fierce
发表于 2025-3-22 03:14:38
978-981-10-9839-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
hazard
发表于 2025-3-22 07:16:57
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maculated
发表于 2025-3-22 09:30:38
Ding-Geng‘(Din) Chen,John Dean ChenWritten by experts actively engaged in Monte-Carlo simulation-based statistical modeling.Includes timely discussions and presentations on methodological developments and concrete applications.Introduc
帐单
发表于 2025-3-22 16:16:24
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刚毅
发表于 2025-3-22 18:10:48
Book 2017s recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical mode
故意
发表于 2025-3-22 21:39:21
Book 2017odel development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.
LUMEN
发表于 2025-3-23 05:15:28
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incision
发表于 2025-3-23 08:57:49
10楼