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[21]wangdeqing,Wang Xinyu,likaifeng.《高级计量经济学》研究性教与学的实施策略探索,2019,2019年26期:133-137,5
[22]wangdeqing,钟章奇,白开旭,helingyun.Spatial and Temporal Variabilities of PM2.5 Concentrations in China Using Functional Data Analysis,2019,卷: 11期: 6
[23]wangdeqing,钟章琦,白凯旭,helingyun.Spatial and Temporal Variabilities of PM2.5 Concentrations in China Using Functional Data Analysis,2019,卷: 11期: 6
[24]wangdeqing,Yan Xu,helingyun,刘荣嫣.Spatial and Temporal Differences in the Relationships between Residents’ Income and Consumption in China:A Dynamic Analysis Using Functional Data Analysis,2018,4703;10;1-25
[25]wangdeqing,helingyun,朱建平.基于函数型自适应聚类的股票收益波动模式比较_,2018,35;2018（9）;79-91
[26]wangdeqing,朱建平,刘晓葳,helingyun.函数型数据聚类分析研究综述与展望,2018,待定;待定;1-16
[27]Wang Xinyu,王元地,wangdeqing,刘香玲.Modeling short-term post-offering price–volume relationships using Bayesian change-point panel quantile regression.国外学术期刊,2016
[28]wangdeqing,刘晓葳,朱建平.函数型自适应权重聚类分析的再拓展,2016,35;1;81-88
[29]wangdeqing,刘晓葳,朱建平.基于自适应迭代更新的函数型数据聚类方法研究,2015,32;4;91-96
[30]wangdeqing,likaifeng,周娇.主成分集成评价方法的问题探析与模型拓展,2015,422;2;4-8
total33 3/4
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