本文从低频数据和高频数据两个角度对沪深300指数的收益率时间序列统计特征进行分析。
This paper analyzes the statistical features of the Shanghai and Shenzhen 300 Index yield rate time series from two aspects which include low frequency data and high frequency data.
产出井产出剖面连续得到改善，产液指数下降幅度较大，见效时间较聚驱提前等动态变化特征。
The production profile of production well is continuously improved, the produced fluid index decreased rapidly, and the responding time is earlier the polymer flooding.
在此基础上对低温冷害指数进行经验正交分解和小波分析，得到其时空变化规律及多时间尺度特征。
By experience orthogonal function analysis and wavelet analysis on chilling damage indices, it showed spatial-temporal variation in the regulation and multiple-time-scale characteristics.
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