乘积季节模型,multiplicative seasonal model
1)multiplicative seasonal model乘积季节模型
1.In this paper we mainly adopt the time series multiplicative seasonal model(the combination of stochastic seasonal model and ARIMA model)and multistatistic method,and make a research on the rules of development of apartment sales.主要采用时间序列乘积季节模型(随机季节模型与ARIMA模型的结合式)及多元统计方法,对商品房市场的发展规律进行了研究。
英文短句/例句

1.Application of multiply season model to deposit prediction;乘积季节模型在储蓄存款预测中的应用
2.Research into the Application of Multiplicative Seasonal Model to Apartment Sales;乘积季节模型在商品房市场中的应用研究
3.The Application of Multiplicative Seasonality ARIMA Model in Energy Yield Forecast;乘积季节模型在能源生产量预测中的应用
4.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
5.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
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.Trying Study on Simulating Ecological Changes of Seasonal Waterlogged Reed Wetlands in Zhalong Using CENTURY Model;扎龙季节性积水芦苇湿地生态变化的CENTURY模型模拟研究
8.A Research of the Univariate-Multiplicative Error Model and Its Empirical Analysis单变量乘积误差模型(MEM)的研究和实证
9.Study on Prediction Model of Accumulated Temperature of Rose at Harvest Time月季采收期周年积温预测模型的研究
10.The Metabolite Cumulation Mathematics Model of Ride Comfort in the Air Bus Cabin大型客机客舱乘坐舒适性的代谢累积模型
11.Simulation model of stem node growth of tomato in long season cultivation in northern solar greenhouse北方日光温室长季节番茄茎节生长模拟模型
12.Analysis of a dynamic inventory transshipment game between two retailers of seasonal products;季节性产品销售商动态串货搏弈模型
13.Two Kinds of New Forecasting Models on Seasonal Variable Time Series;季节变动时间序列的两种新预测模型
14.A type of seasonal integer-valued compound autoregressive model-SINCAR(1);一类季节性整值复合自回归模型——SINCAR(1)
15.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
16.On Some q-Orders and q-Types of Dirichlet-Hadamard Product FunctionDirichlet-Hadamard乘积的q-级和q-型
17.Seasonal Characteristics of Clinical Rate of Influenza-Like Illness in Shenzhen and Its Meteorological Forecast Model深圳市流感就诊率季节特征及夏季流感就诊率气象预报模型
18.A Flexible Additive multiplicative Rates Model for Multiple Type Recurrent Event Data多类型复发事件下变系数加性乘积比率回归模型
相关短句/例句

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。
3)product seasonal models乘积型季节性模型
1.This paper deals with the autocorrrelation structure of product seasonal modelsΦ(B)Φ(B~8)x_t=θ(B)■(B~8)a_t by use of autocovariance generating functions,and finds out that for p=o,the model is parametersepar able.本文以自协方差发生函数为工具,讨论了乘积型季节性模型。
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)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。
6)seasonal mutual tendency model季节性交乘趋势模型
延伸阅读

AutoCad 教你绘制三爪卡盘模型,借用四视图来建模型小弟写教程纯粹表达的是建模思路,供初学者参考.任何物体的建摸都需要思路,只有思路多,模型也就水到渠成.ok废话就不说了.建议使用1024X768分辨率 开始先看下最终效果第一步,如图所示将窗口分为四个视图第二步,依次选择每个窗口,在分别输入各自己的视图第三步,建立ucs重新建立世界坐标体系,捕捉三点来确定各自的ucs如图第四步,初步大致建立基本模型.可以在主视图建立两个不同的圆,在用ext拉升,在用差集运算.如图:第五步:关键一步,在此的我思路是.先画出卡爪的基本投影,在把他进行面域,在进行拉升高度分别是10,20,30曾t形状.如图:第六步:画出螺栓的初步形状.如图第七步:利用ext拉升圆,在拉升内六边形.注意拉升六边行时方向与拉升圆的方向是相反的.之后在利用差集运算第八步:将所得内螺栓模型分别复制到卡爪上,在利用三个视图调到与卡爪的中心对称.效果如图红色的是螺栓,最后是差集第九步:阵列第10步.模型就完成了来一张利用矢量处理的图片