irritants 发表于 2025-3-21 18:18:13

书目名称Dependent Data in Social Sciences Research影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0284526<br><br>        <br><br>书目名称Dependent Data in Social Sciences Research读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0284526<br><br>        <br><br>

一大块 发表于 2025-3-21 22:15:38

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SLAG 发表于 2025-3-22 02:48:25

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PACK 发表于 2025-3-22 05:44:33

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代替 发表于 2025-3-22 09:35:23

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失望昨天 发表于 2025-3-22 15:57:25

Exploration of Dependence Structures in Longitudinal Categorical Data with Ordinal Responsesrelationship with categorical covariates, the proposed approach consists of a set of SCCRAM-based strategies that take into account time dependence, data format, potential of asymmetric dependence, and model-free inference. The utility of the proposed method is demonstrated using two longitudinal ca

失望昨天 发表于 2025-3-22 17:56:48

Bayesian Network for Discovering the Potential Causal Structure in Observational Dataht on the factors that drive observed patterns and phenomena, facilitating a clear understanding of the intricate web of relationships, enabling researchers and practitioners to derive meaningful insights, and making informed decisions based on a nuanced understanding of the causal mechanisms at pla

Mucosa 发表于 2025-3-23 00:39:35

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生来 发表于 2025-3-23 01:57:14

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ORE 发表于 2025-3-23 08:55:58

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查看完整版本: Titlebook: Dependent Data in Social Sciences Research; Forms, Issues, and M Mark Stemmler,Wolfgang Wiedermann,Francis L. Huang Book 2024Latest edition