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近日,由我校经济学院统计系2015级在读博士生范新妍与其导师组成员方匡南教授、张庆昭副教授、美国耶鲁大学马双鸽教授合作完成的论文“Integrative sparse principal component analysis of multiple heterogeneous datasets”被Journal of Multivariate Analysis正式接收,即将刊出。Journal o...
Much effort has been directed in the last decade to the theoretical foundations of the resource-based view (RBV) of strategic management. However, this approach has been criticized and its standing as...
A Principal Component Analysis method based on multivariate analysis was used to evaluate the correlation between the fermentable sugar content of dough and its behaviour during fermentation at differ...
Classical analysis of variance requires that model terms be labeled as xed or random and typically culminate by comparing variability from each batch (factor) to variability from errors; without a st...
This study uses multivariate analysis to assess the basic question asked by resource-based view researchers: Do organizational resources and capabilities account for variations in firm performance? An...
About Test Criteria in Multivariate Analysis
The paper tackles the problem of deriving a topological structure among stock prices from high frequency historical values. Similar studies using low frequency data have already provided valuable insi...

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