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ARMA_Model_Application
- 该文档介绍了ARMA模型在预测问题中的应用.
yuce
- 建立ARMA模型,进行数据的预测,效果很好,这里是其中的代码-the code of the ARMA
AR_P_2_Simulation
- ARMA模型时间序列预测程序,R=2模型并用于西德消费预测-ARMAmodel for prediction
armaready
- 实现数据的预测 通过建立模型 训练模型 从而生成arma模型 达到预测-make prediction
4643df097701
- arma 实现了数据从文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of-arma matlab实现了数据从文件的输入
armamodelmatlab
- arma模型,利用matlab来实现的,arma模型的matlab代码实现。可以实现任意步数的预测。-arma model using matlab.You can achieve any number of steps predicted.
vol
- matlab金融时间序列ARMA建模 结果分析: 1.预测结果从第四步开始,预测值不再改变,因为ARMA是收敛的回归模型,而我们做的工作并不是模拟,所以,当预测步长足够长时,它最终将收敛于一个不变得预测值 2.既然预测值一样,为什么还原为成交量后,在置信区间下预测的最大值与预测均值的差比预测均值与最小值的差要大?因为将对数差分值还原时,需用到的指数函数为凹函数-matlab Financial Time Series the the ARMA modeling results Ana
THE-TIME-SERIES
- 该文介绍了时间序列经典方法,ARMA,ARIMA,AR模型用于解决各种平稳预测问题,并且附上了相应的程序,方便读者运用-This paper introduces the classical time series methods, ARMA, ARIMA, AR model is used to solve a variety of stationary prediction problem, and attach the appropriate procedures to facilitat
forecast
- 利用matlab软件建立模型,利用ARMA模型对数据进行预测-Using matlab software to model the data using the ARMA model prediction
wangyuetestnew
- 时间序列ARMA建模实例,包含对数据的平稳性检验、白噪声检验及依据ARMA模型的预测。-ARMA time series modeling examples, including the data stationary test, white noise testing and forecasting based on ARMA model.
ARMAre
- AMRA建模,主要包括平稳化,判断阶数,建立模型,利用模型进行预测-ARMA modeling beginner when used, including smoothing determine the order is appropriate, modeling, prediction
armajingjiyuce
- 基于Arma模型的经济预测的MATLAB代码,以及该模型的参数估计-Parameters economic forecasts MATLAB code Arma model and the model based on the estimated
time-series-for-prediction
- 基于时间序列对用水量的预测,建立arma模型确定阶数和参数,然后通过前几年的数据和周期性的趋势对未来的数据进行预测和检验.包含实例源数据及所有代码。-Based on time sequence for the forecast of water consumption, the establishment of arma model order and parameters, and then through the data of a few years ago and periodic t
arimafinal
- 用ARMA模型对时间序列进行预测,预测效果相对于移动平均预测较好,能进行有效预测。-Using the ARMA model to forecast the time sequence, better prediction effect relative to the moving average forecast, can effectively forecast.
acwhccts
- matlab程序可以实现了数据从OJRVrEZ文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面-Matlab program can realize the data input a OJRVrEZ file# A
awzxhjbi
- matlab程序可以实现了数据从IjHwTMH文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写 ,可以调节NoqYtbl环境,测试通过。-Matlab program can realize the data input a IjHwTMH file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user i
aywhibwr
- matlab程序可以实现了数据从VzTeFyv文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写 ,可以调节cmlbDSE环境,测试通过。-Matlab program can realize the data input a VzTeFyv file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user i
barpxtua
- matlab程序可以实现了数据从XzaMBSL文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写 ,可以调节BDZhNvs环境,测试通过。-Matlab program can realize the data input a XzaMBSL file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user i
115157681arma
- 已知1991-2008年的值: 5.99 6.09 6.15 6.23 6.20 6.40 6.50 6.70 6.90 7.00 7.10 7.30 7.50 7.60 7.70 7.90 8.10 8.30 用GM(1,1)灰色模型和bp神经网络预测一直到2050年的值,用matlab实现(1991-2008 known value: 5.99 6.09 6.15 6.23 6.20 6.40 6.50 6.70 6.90 7.00 7.10 7.30 7.50 7.60 7.70 7.90
ARMAFocecastStockIndex
- 从网页抓取大盘数据并用ARMA模型进行拟合和预测(Grab data from web pages and use ARMA model to fit and predict.)