Description: 基于MATLAB的ARIMA模型的源代码。ARIMA模型是自回归滑动平均求和模型，是时间序列分析模型，可以用于时间序列的预测。该代码实现了ARIMA模型的建模和谱分析过程-The ARIMA model based on MATLAB source code. ARIMA model is the sum of autoregressive moving average model is time series analysis models, can be used for time series prediction. The code to achieve the ARIMA models and spectral analysis of the modeling process Platform: |
Size: 2048 |
Author:王二 |
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Description: 。统计预测方法建立在严密
的数学理论基础之上，具有结构简单、预测速度快、方便操作等特点，相对于其
他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用
-. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative to other time-series analysis forecasting methods (such as: regression analysis, neural networks, etc.) is more suitable for practical application Platform: |
Size: 5672960 |
Author:毛玉凤 |
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Description: 在目前统计预测中，存在着非平稳序列分析效果差、多步预测误差较大、缺
乏系统的软件实现等问题。本文针对该类问题进行研究，提出了NARIMA方法，
该方法以ARIMA模型为基础，有效结合了游程平稳检验方法、差分平稳处理方法
、线性最小方差预测算法等，解决了传统统计预测方法中存在的上述问题
-In the current statistical forecast, there is a differential effect of non-stationary sequence analysis, multi-step prediction error, lack of system software implementation. For this kind of problem, NARIMA method, the ARIMA model, the effective combination of a smooth run-length test, the differential steady approach, the linear minimum variance prediction algorithm to solve the traditional statistical forecasting methods exist the above problems Platform: |
Size: 5672960 |
Author:毛玉凤 |
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Description: ARIMA模型在数学建模中的使用。具有很好的预测效果。可以一试。-ARIMA model is the use of mathematical modeling. Has a good prediction. Can try. Platform: |
Size: 654336 |
Author:加应子 |
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Description: doarima.m MATLAB script to do an ARIMA(p,d,q) analysis where d is set but P and q can be vectors of values you want to try. It produces AIC and FPE (final prediction error) values for comparing models. The AIC is different than the one computed by S+, but they both minimize on the same model for the arma22.dat simulated data. Platform: |
Size: 2048 |
Author:timyscralem |
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Description: 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 facilitate the use of the reader Platform: |
Size: 118784 |
Author:梁毅灵 |
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Description: After trying tones of codes for ARIMA model parameter estimation and prediction, I found this code could be the best one that fit my purpose of predicting temperature. I would like to share it to you. Thanks Platform: |
Size: 8192 |
Author:biencan |
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Description: ARIMA模型对化工厂生产浓度进行十步预测。内容简洁使用方便。-ARIMA model for chemical production concentration ten-step prediction. Concise and easy to use. Platform: |
Size: 1024 |
Author:李云 |
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Description: 是一个风速预测模型。适合初学者对ARIMA的理解(It is a wind speed prediction model. Suitable for beginners to understand ARIMA
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It is a wind speed prediction model. Suitable for beginners to understand ARIMA) Platform: |
Size: 4096 |
Author:过的很好
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Description: 采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distributed time series prediction algorithm) Platform: |
Size: 33792 |
Author:小龙女
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Description: 基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.) Platform: |
Size: 30720 |
Author:zxzxchyl |
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Description: 用于风电场区域的风速多步预测问题。模型基于ARIMA，通过数据预处理、进行建模，并使用我国山东省两个风电场的历史风速数据进行测试和分析。结果表明，模型的统计误差小。(Multi-step wind speed prediction in wind farm area. The model is based on ARIMA, through data preprocessing, modeling, and using historical wind speed data of two wind farms in Shandong Province of China to test and analyze. The results show that the statistical error of the model is small.) Platform: |
Size: 4096 |
Author:幸福慢慢来 |
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Description: 使用LSTM-ARIMA模型进行混合预测，ARIMA做线性部分的预测，LSTM做非线性部分(LSTM-ARIMA model is used for mixed prediction, ARIMA for linear prediction and LSTM for nonlinear prediction) Platform: |
Size: 4096 |
Author:巴大叔 |
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