Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
And the weighted least squares method is presented for gaining more accurate results of correlation dimensions.
在数据后处理方面，本文提出了加权最小二乘法，使维数计算更精确，更适合实际。
The results show that increasing the number of least squares fitting terms and reasonable selection of digital image correlation subset size improve the accuracy of calculated stress intensity factor.
结果表明，增加最小二乘拟合项次和合理选择数字图像相关计算子区域和步长大小可以提高应力强度因子计算精度。
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