The traditional grey incidence degree is mainly based on the distance analysis methods, which is measured by the displacement difference between corresponding points between sequences. When some data of sequences are ...The traditional grey incidence degree is mainly based on the distance analysis methods, which is measured by the displacement difference between corresponding points between sequences. When some data of sequences are missing (inconsistency in the length of the sequences), the only way is to delete the longer sequences or to fill the shorter sequences. Therefore, some uncertainty is introduced. To solve this problem, by introducing three-dimensional grey incidence degree (3D-GID), a novel GID based on the multidimensional dynamic time warping distance (MDDTW distance-GID) is proposed. On the basis of it, the corresponding grey incidence clustering (MDDTW distance-GIC) method is constructed. It not only has the simpler computation process, but also can be applied to the incidence comparison between uncertain multidimensional sequences directly. The experiment shows that MDDTW distance-GIC is more accurate when dealing with the uncertain sequences. Compared with the traditional GIC method, the precision of the MDDTW distance-GIC method has increased nearly 30%.展开更多
耐震时程分析(endurance time analysis,ETA)法作为结构响应分析领域的有效简化方法,基于频域地震动反应谱合成的耐震时程曲线无法准确反映时域的脉冲特性,限制了其在近断层脉冲型地震中的应用。为将ETA法应用到近断层脉冲型地震动作用...耐震时程分析(endurance time analysis,ETA)法作为结构响应分析领域的有效简化方法,基于频域地震动反应谱合成的耐震时程曲线无法准确反映时域的脉冲特性,限制了其在近断层脉冲型地震中的应用。为将ETA法应用到近断层脉冲型地震动作用下斜拉桥动力响应分析中,基于增量动力分析(incremental dynamic analysis,IDA)法研究了不同峰值下脉冲、高频分量对斜拉桥动力响应的贡献程度,构建了考虑脉冲和强度特性的斜拉桥动力响应预测模型,利用ETA法模拟高频分量下的斜拉桥动力响应并结合预测模型,预测了近断层脉冲型地震动下斜拉桥的动力响应。结果表明:建立的预测模型可以精确表达不同强度下高频分量与原始地震动响应之间的定量关系;基于ETA模型和IDA法计算出0.6 g下的平均动力响应最大相对误差不超过10%,具有良好的预测精度。研究成果为高效合理地计算近断层脉冲型地震动下斜拉桥的动力响应提供了技术支撑。展开更多
立足于中国式家庭的背景,基于2016年至2020年中国家庭追踪调查(China Family Panel Studies,CFPS)数据,将家庭内部父代与子代间的时间禀赋转移引入OLG模型,构建了家庭生育的扩展OLG模型,选择离散事件史分析法实证分析家庭内部时间禀赋...立足于中国式家庭的背景,基于2016年至2020年中国家庭追踪调查(China Family Panel Studies,CFPS)数据,将家庭内部父代与子代间的时间禀赋转移引入OLG模型,构建了家庭生育的扩展OLG模型,选择离散事件史分析法实证分析家庭内部时间禀赋代际转移对生育的影响。实证结果表明,家庭内部代际时间转移具有双向性,父代向子代转移时间禀赋的隔代照料显著提升子代的生育行为;子代向父代转移时间禀赋的赡养照顾对其生育产生抑制效应。采用工具变量法进行IV Probit回归处理内生性,以倾向得分匹配法(PSM)和安慰剂检验验证稳健性,回归结果依然稳健。异质性分析表明,父代转移时间隔代照料对城镇、不与父母同住和中高收入居民的生育行为有更显著促进作用,子代转移时间赡养照顾对城镇、与老年父母同住和中高收入居民有显著抑制作用。为此,应积极构建生育友好型社会,为家庭育儿照料提供更多外部支持。展开更多
基金supported by the National Natural Science Foundation of China(6153302061309014)the Natural Science Foundation Project of CQ CSTC(cstc2017jcyj AX0408)
文摘The traditional grey incidence degree is mainly based on the distance analysis methods, which is measured by the displacement difference between corresponding points between sequences. When some data of sequences are missing (inconsistency in the length of the sequences), the only way is to delete the longer sequences or to fill the shorter sequences. Therefore, some uncertainty is introduced. To solve this problem, by introducing three-dimensional grey incidence degree (3D-GID), a novel GID based on the multidimensional dynamic time warping distance (MDDTW distance-GID) is proposed. On the basis of it, the corresponding grey incidence clustering (MDDTW distance-GIC) method is constructed. It not only has the simpler computation process, but also can be applied to the incidence comparison between uncertain multidimensional sequences directly. The experiment shows that MDDTW distance-GIC is more accurate when dealing with the uncertain sequences. Compared with the traditional GIC method, the precision of the MDDTW distance-GIC method has increased nearly 30%.
文摘立足于中国式家庭的背景,基于2016年至2020年中国家庭追踪调查(China Family Panel Studies,CFPS)数据,将家庭内部父代与子代间的时间禀赋转移引入OLG模型,构建了家庭生育的扩展OLG模型,选择离散事件史分析法实证分析家庭内部时间禀赋代际转移对生育的影响。实证结果表明,家庭内部代际时间转移具有双向性,父代向子代转移时间禀赋的隔代照料显著提升子代的生育行为;子代向父代转移时间禀赋的赡养照顾对其生育产生抑制效应。采用工具变量法进行IV Probit回归处理内生性,以倾向得分匹配法(PSM)和安慰剂检验验证稳健性,回归结果依然稳健。异质性分析表明,父代转移时间隔代照料对城镇、不与父母同住和中高收入居民的生育行为有更显著促进作用,子代转移时间赡养照顾对城镇、与老年父母同住和中高收入居民有显著抑制作用。为此,应积极构建生育友好型社会,为家庭育儿照料提供更多外部支持。
