Nonparametric change point recognition for dry season runoff time series based on rank statistic method
基于秩统计量的枯水期径流时序变点的非参数识别
On the above basis, according to the statistic data time series of historical disaster losses and by using SPSS software to fit the Fourier series general model, this study will obtain the fitting equation of disaster prediction model.
在此基础之上,根据历史灾情损失的时间序列统计数据,运用spss软件对傅里叶级数一般模型进行拟合,从而得到灾情预测模型的拟合方程。
Statistic dynamic measure precision by single pass orbit determination indicates that the RMS of corrected data is 5 second through a series of correct error test on the photo-electricity telescope.
在精密观测望远镜上进行了一系列误差修正实验,利用单圈改进法统计动态测量精度表明:修正后的数据均方差优于5秒。
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