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關注：1
2013-05-23 12:21
求翻譯：本文研究了基于時間序列的預測方法，重點研究應用ARIMA(p,d,q)模型建模的過程，包括獲取數據、數據平穩化處理、ARMA模型類型識別、參數估計與模型定階、模型檢驗，并給出建模實例；最后，基于用戶量預測模型ARIMA(0,2,1)提出一種動態調整頻道服務帶寬算法。是什么意思？ 待解決
 懸賞分：1
- 離問題結束還有
本文研究了基于時間序列的預測方法，重點研究應用ARIMA(p,d,q)模型建模的過程，包括獲取數據、數據平穩化處理、ARMA模型類型識別、參數估計與模型定階、模型檢驗，并給出建模實例；最后，基于用戶量預測模型ARIMA(0,2,1)提出一種動態調整頻道服務帶寬算法。
問題補充： |
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2013-05-23 12:21:38
In this paper, based on time series prediction methods, focus on the application arima (p, d, q) model the process of modeling, including access to data, data smoothing, arma model type identification, parameter estimation and model order, model testing Finally, a dynamic adjustment of channel servi
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2013-05-23 12:23:18
正在翻譯，請等待...
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2013-05-23 12:24:58
This article has studied based on the time series forecast method, the key research applies the ARIMA(p, d, q) model modelling the process, including the gain data, data steady processing, the ARMA model type recognition, the parameter estimation and the model decides the step, the model examination
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2013-05-23 12:26:38
This study based on time series forecasting method, focus on the application of ARIMA (p,d,q) model, including smooth access to data, data processing, type identification, parameter estimation and model for the ARMA model order, model testing, and gives the model instance and, finally, ARIMA predict
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2013-05-23 12:28:18
正在翻譯，請等待...
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