季节ARIMA模型,seasonal ARIMA model英语短句,例句大全

季节ARIMA模型,seasonal ARIMA model
1)seasonal ARIMA model季节ARIMA模型
1.Study of electricity sales forecasting for North China Power Grid based on seasonal ARIMA model基于季节ARIMA模型的华北电网售电量预测研究
2.In order to improve the accuracy of seasonal highway traffic volume forecasting,a general expression of seasonal ARIMA model with periodicity was presented based on the normal ARIMA model,and then the procedures of modeling and forecasting via seasonal ARIMA model were provided.与三个常用季节预测模型:分组回归模型、可变季节指数预测模型和季节周期回归模型相比,季节ARIMA模型的预测精度最高。
3.A seasonal ARIMA model was used to simulate the time series of Lianyungang coastal SST based on the monthly SST from 1996 to 2007,and the optimal model ARIMA(1,0,1)(0,1,0)12 was finally established with its structure determined according to the criteria of residual un-correlation and concision.基于1996—2007年逐月时间序列数据,采用季节ARIMA模型对连云港近海表层水温时间序列进行模拟,并依据残差不相关和简洁性原则确定模型的结构,建立最优预测模型ARIMA(1,0,1)(0,1,0)12。

英文短句/例句

1.Modeling and Predicting Wirless GSM Traffic on the Seasonal ARIMA Model;基于季节ARIMA模型的GSM话务量建模和预报
2.Research on traffic prediction and result analysis of using multiplicative seasonal autoregressive integrated moving average应用乘积季节ARIMA模型的话务量预测及结果分析
3.Study of electricity sales forecasting for North China Power Grid based on seasonal ARIMA model基于季节ARIMA模型的华北电网售电量预测研究
4.Time Series of Coastal Sea Surface Temperature: Simulation and Prediction Based on Seasonal ARIMA Model基于季节ARIMA模型的近海表层水温时间序列模拟与预测
5.ARIMA Model for the Seasonal Incidence of Bronchopneumonia in Zhangjiachuan张家川支气管肺炎月发病率的季节性ARIMA模型
6.The Research of Multiple Seasonal Arima Model of the Product Based on Load Forecasting and Energy Monitoring Software基于乘积季节性ARIMA模型负荷预报及节能监控软件研究
7.Rolling Sample Forecasting for Chinese International Inbound Tourism Market--Based on the ARIMA Model with Seasonal Dummy Variables;对中国国际入境旅游市场的滚动样本预测——基于季节效应ARIMA模型
8.ARIMA Product Season Model and its Application on Forecasting in Incidence of Infectious Disease;ARIMA乘积季节模型及其在传染病发病预测中的应用
9.APPLICATIONS OF ARIMA MODEL ON PREDICTIVE WORK LOAD OF IN-PATIENT DEPARTMENT应用ARIMA模型对季度入院人次的预测
10.Application of Seasonal ARIMA Method to Wine Price Index Analysis;葡萄酒月度价格指标的季节ARIMA时间序列分析
11.An Analysis About Seasonal Fluctuation of Heating Oil Price Based on X-11-ARIMA Method;基于X-11-ARIMA方法的取暖油价格季节性波动分析
12.The Combined Forecasting Based on ARIMA Model基于ARIMA模型的组合模型研究
13.Analysis of Time-series Forecast for Blend Price of Steel Based on ARIMA Model;基于ARIMA模型的中国钢铁价格分析预测
14.Forecast for Highway Passenger Carrying Capacity Based on Multiple ARIMA Model;基于乘法ARIMA模型的公路客运量预测
15.Logistic-ARIMA coupling model for forecast of demand of urban water resources;城市水资源需求量预测Logistic-ARIMA耦合模型
16.Application of ARIMA Model on Forecast of Railway Freight Volume;ARIMA模型在铁路货运量预测中的应用
17.Combinational Forecasting Model Based on ARIMA and ANN;基于ARIMA-ANN的时间序列组合预测模型
18.Automatic station wind speed forecasting based on ARIMA model;基于ARIMA模型的自动站风速预测

相关短句/例句

seasonal ARIMA models季节ARIMA模型
1.Since power load has obvious seasonal character,seasonal ARIMA models can be applied to capturing the power hehavior.将季节ARIMA模型引入电力负荷的建模及预报,为电力资源分配的宏观调控及电网改造提供了一种可靠的方法和途径。
3)multiple seasonal ARIMA modelARIMA季节乘积模型
1.Objective:To establish a model of multiple seasonal autoregressive integrated moving average(ARIMA) (p,d,q)(P,D,Q) s on month-morbility of Bacillary Dysentery,and to explore the applications of multiple seasonal ARIMA model.结论:通过ARIMA(0,0,1)(0,1,1)12模型与ARIMA(0,1,1)12模型对细菌性痢疾月发病数预测效果的比较,表明ARIMA季节乘积模型是一种短期预测精度较高的预测模型。
4)ARIMA seasonal multiple modelARIMA季节乘积混合模型
1.Presented in this paper are traffic prediction models based on application layer,which use ARIMA seasonal multiple model(p,d,q)(P,D,Q)s for modeling and forecasting the seasonal time series from China\'s exports of a metro area network link.因此提出基于应用层的流量预测分析模型,对国内某城域网出口链路上的应用层流量序列采用ARIMA季节乘积混合模型(p,d,q)(P,D,Q)s建模并预测。
5)seasonal ARIMA季节ARIMA
1.Integrating regression analysis with time series analysis, a regression model with seasonal ARIMA errors — Regression-Time Series Analysis model — was presented to forecast the short-term freight.应用此回归-时序混合模型进行月度货运量的拟合预测,并与多元线性回归模型和季节ARIMA模型的拟合预测结果相比较,表明回归-时序混合模型可以提高短期货运量的预测精度。
6)multiplicative seasonal Autoregressive Integrated Moving Average乘积季节ARIMA
1.Based on the characteristics exhibited in the traffic series,multiplicative seasonal Autoregressive Integrated Moving Average mode(l ARIMA) is employed to make traffic series prediction.深入研究了某省某移动网络运营商的多年的话务量数据,利用自相关函数对其周期性和趋势性方面的规律进行了探测,并在此基础上提出应用乘积季节ARIMA模型进行建模和预测的方案。