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基于滑动L_(2)优化准则的GPS坐标时间序列重构
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作者 周侗 边家文 +2 位作者 丁开华 陈保周 伍浩琛 《地理空间信息》 2021年第3期41-45,59,I0001,共7页
GPS坐标时间序列中不仅包含白噪声,还包含闪烁噪声、随机漫步噪声等有色噪声,这些噪声将影响GPS应用的可靠性,甚至可能对一些地球物理现象做出错误的解释,因此降低GPS坐标时间序列中有色噪声的影响、提高GPS精度是一个重要和基本的问题... GPS坐标时间序列中不仅包含白噪声,还包含闪烁噪声、随机漫步噪声等有色噪声,这些噪声将影响GPS应用的可靠性,甚至可能对一些地球物理现象做出错误的解释,因此降低GPS坐标时间序列中有色噪声的影响、提高GPS精度是一个重要和基本的问题。提出了一种滑动L_(2)优化估计方法(ML_(2)),通过选取合适的窗口建立L_(2)优化模型,再利用交替迭代乘子法求解每段时间序列的优化问题,并逐年滑动得到整段GPS坐标时间序列的估计。实验结果表明,ML_(2)方法与奇异谱分析、小波分解、滑动普通最小二乘法相比具有更好的重构效果。 展开更多
关键词 GPS坐标时间序列 L_(2)优化 交替迭代乘子法 奇异谱分析 小波分解 滑动普通最小二乘
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The Study on Trade Policy and Openness of Mongolia: Influences on Trade Flows Between China-Mongolia-Russia (Past and Future) 被引量:1
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作者 Fu Qiang Sodnomdargia Bayanjargal 《Chinese Business Review》 2016年第5期249-264,共16页
This paper aimed to highlight the effects of conflict in Mongolia on trade policy and openness, by estimating the trade flows with neighbor countries (China and Russia). Fourteen years' (2000-2013) data of Mongol... This paper aimed to highlight the effects of conflict in Mongolia on trade policy and openness, by estimating the trade flows with neighbor countries (China and Russia). Fourteen years' (2000-2013) data of Mongolian imports and exports were collected and gone through principal component analysis (PCA) and empirical analysis for grouping various trades with China and Russia. The empirical analysis identified the determining factors of Mongolian trade flow and openness with China and Russia. Empirical analysis evidenced that Mongolian trade and openness policy raised bilateral trade between China and Russia, leaving a great influence on economic size. Two main questions represented as empirically tested by each sample country. How did Mongolian trade policy and openness influence trade flows between China and Russia and economic growth of Mongolia? Did Mongolian trade policy and the bilateral trade with China and Russia increase on trade openness? Finally, the study focused on the forecasts from 2016 to 2018 to examine Mongolian trade flows with China and Russia using ordinary least squares method and autoregressive-moving-average (ARMA) model. China-Mongolia-Russia trade flows will continue to dominate during the forecasted period. As shown by the structure of export and import, goods with China and Russia influenced the mutual trade amount. Moreover, China and Russia traded to continue with Mongolia for goods in long run. Trade policy and openness, the major contributor in Mongolian economy, are significantly playing roles in trade and economy. 展开更多
关键词 trade policy OPENNESS neighbour countries influence
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