1) seasonal index model
季节指数模型
1.
In this study,ARMA,exponential smoothing and seasonal index model is adopted for predicting incidence of classical swine fever,and evaluating the precision of these three models using MSE,MAE,MPE and MAPE.
本研究拟用ARMA模型、指数平滑模型和季节指数模型对猪瘟发病率进行预测,采用MSE、MAE、MPE和MAPE来评价模型的精确度。
2) season exponential forecasting model
季节指数预测模型
3) seasonal exponential smoothing method
季节性指数平滑模型
4) Seasonal index
季节指数
1.
The Research of Seasonal Index s Estimation and It s Application;
季节指数的估计及其应用的研究
2.
This paper builds up a regression model by use of dichotomous variable and estimates the seasonal index indirectly by the parameter estimation of seasonal dichotomous variable.
利用季节虚拟变量建立回归模型,通过季节虚拟变量的参数估计间接地估计季节指数,并且利用模型进行了一些传统的季节指数方法无法进行的推断统计。
3.
By analyzing the data of part of air material consumption,the center moving average method is used to obtain the seasonal index which is used as weighting coefficient to correct the model so as to improve the accuracy of purchasing quantity of air materials.
为达到降低库存费用、保障飞机持续适航的目的,建立定量订货模型,并通过对部分航材消耗数据的分析,提出利用中心移动平均法求得季节指数的方法,将其作为权系数对该模型进行修正,以提高航材采购数量的精确性。
5) Season index
季节指数
1.
This paper puts forward a combined fo recasting al go rithm of water consum ption per hour including factors of season index,trend mo ving and self-adaptive filtering.
提出了时用水量的季节指数、趋势移动及自适应过滤联合预测方法,该法可满足供水系统优化调度的需要。
6) season exponent
季节指数
1.
To solve the problem,the paper puts forward a forecast model based on season exponent and grey forecast.
文章提出了一种基于季节指数和灰色预测的月电量预测模型,以南京市某供电分公司近五年的月电量数据为基础,采用季节指数变换的灰色预测模型进行预测相比较对数变换法的灰色预测模型,预测效果得到了明显提高。
2.
It dissolves the influences of long-term trend and period alteration by means of move-average method, then calculates the season exponent and adjusts it.
本文采用时间序列分析法对某种航材故障率进行预测 ,用移动平均法消除时间序列的长期趋势和周期变动 ,然后按月平均法求出季节指数 ,并对季节指数进行调整 ,然后根据拟合的趋势方程对此种航材的故障率进行预测。
3.
It dissolves the influences of long-term trend and period alteration by means of move-average method, then calculate the season exponent and have it adjusted.
采用时间序列分析法对某种航空装备故障率进行预测,用移动平均法消除时间序列的长期趋势和周期变动,然后按月平均法求出季节指数,并对季节指数进行调整,然后根据拟合的趋势方程对故障进行预测,并得出了装各故障的预测结果,其结果能为航空装备的可靠性保障提供理论依据。
补充资料：经验指数预测法(见发生量预测)
经验指数预测法(见发生量预测)
经验指数预测法见发生量预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条