本文利用X - 12 -ARIMA季节调整模型来分析节假日的经济效应。这一模型在美国、欧洲已得到广泛的应用。
This thesis apply X-12-ARIMA seasonal adjustment model to analyze the economics effect of holidays, which has been used widely in Europe and USA.
文章用X-12-ARIMA季节调整模型对中国1997年1月至2009年12月的粮食消费价格月度定基指数进行分解，并得到趋势循环、季节和不规则因素；
The article decompose the monthly fixed base index of consumer food prices from January 1997 to December 2009 in China with X - 12 -ARIMA seasonal adjustment model and Demtra software.
建立一种基于结构时间序列模型的新的时间序列季节调整方法。
In the paper, we construct a new seasonal adjustment method of time series on the basis of the structural time series model.
方法用季节预测法中的移动平均比率法计算趋势值与调整月指数 ，最后应用模型。
Methods The trend values were calculated and the monthly indexes were adjusted with moving average method of season prediction method, and then the model was applied.
把最终的季节时间序列模型转化为状态空间形式，通过卡尔曼滤波实时调整状态向量，实现电梯交通流的在线预测。
It transforms the finial SARIMA model to state space model, adjusts the state vector using Kalman filter, and realizes the on-line forecast.
把最终的季节时间序列模型转化为状态空间形式，通过卡尔曼滤波实时调整状态向量，实现电梯交通流的在线预测。
It transforms the finial SARIMA model to state space model, adjusts the state vector using Kalman filter, and realizes the on-line forecast.
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