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。
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.
对统计算法中回归模型中的假设条件、平滑指数的自适应调整、ARMA模型的参数估计作了一些分析。
We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.
回归分析法、灰色系统模型法和指数平滑法是目前常用的水上交通事故预测方法。
Regression analysis, grey-system and exponential smoothing method are in common use as forecasting methods of maritime accidents nowadays.
应用推荐