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Exploration of the Impact Mechanism of Government Credibility Based on Variable Screening Method
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作者 Jiajun Wu Yuxiang Ma +2 位作者 Helin Zou Chun Zhang Ran Yan 《Journal of Data Analysis and Information Processing》 2024年第3期479-494,共16页
Government credibility is an important asset of contemporary national governance, an important criterion for evaluating government legitimacy, and a key factor in measuring the effectiveness of government governance. ... Government credibility is an important asset of contemporary national governance, an important criterion for evaluating government legitimacy, and a key factor in measuring the effectiveness of government governance. In recent years, researchers’ research on government credibility has mostly focused on exploring theories and mechanisms, with little empirical research on this topic. This article intends to apply variable selection models in the field of social statistics to the issue of government credibility, in order to achieve empirical research on government credibility and explore its core influencing factors from a statistical perspective. Specifically, this article intends to use four regression-analysis-based methods and three random-forest-based methods to study the influencing factors of government credibility in various provinces in China, and compare the performance of these seven variable selection methods in different dimensions. The research results show that there are certain differences in simplicity, accuracy, and variable importance ranking among different variable selection methods, which present different importance in the study of government credibility issues. This study provides a methodological reference for variable selection models in the field of social science research, and also offers a multidimensional comparative perspective for analyzing the influencing factors of government credibility. 展开更多
关键词 Government Credibility variable selection models Social Statistics Regression Based Approach Method Based on Random Forest
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Prediction of Gas Chromatographic Retention Indices of Organophosphates by DFT and VSMP Method
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作者 刘红艳 莫凌云 +1 位作者 李艳红 易忠胜 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 2012年第5期704-712,共9页
Polychlorinated dibenzothiophenes(PCDTs) are a group of important persistent organic pollutants.In the present study,geometrical optimization and electrostatic potential calculations have been performed for all 135 ... Polychlorinated dibenzothiophenes(PCDTs) are a group of important persistent organic pollutants.In the present study,geometrical optimization and electrostatic potential calculations have been performed for all 135 PCDTs congeners at the B3LYP/6-31G* level of theory.By means of the VSMP(variable selection and modeling based on prediction) program,one optimal descriptor(molecular polarizability,α) was selected to develop a QSRR model for the prediction of gas chromatographic retention indices(GC-RI) of PCDTs.The estimated correlation coefficients(r2) and LOO-validated correlation coefficients(q2),all more than 0.99,were built by multiple linear regression,which shows a good estimation ability and stability of the models.A prediction power for the external samples was validated by the model built from the training set with 17 polychlorinated dibenzothiophenes. 展开更多
关键词 polychlorinated dibenzothiophenes(PCDTs) retention indices(RI) density functional theory(DFT) variable selection and modeling based on prediction(VSMP) quantitative structure-retention relationship(QSRR)
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