arima models 中文意思是什麼
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This system adopts cumulatively autoregressive moving average model [ arima ] of time series method and modified model gm ( 1, 1 ) of grey system, makes a local load forecasting modeling through the integration of the above two models and also preprocesses the daily load during the sudden change of climate, thus greatly improving the forecast accuracy. the practical operation indicates that the model is reasonable and easy to operate with complete function
本系統在經過反復試算后，在演算法上採用了時間序列法的累積式自回歸動平均模型（ arima ）與灰色系統中的gm （ 1 ， 1 ）改進模型，並將兩種模型組合用於該地區負荷預報建模，另外還對氣候急變日負荷進行了預處理，大大提高了預報準確度。 -
Forecast research of china ' s electric power production based on arima models
模型的我國電力生產預測研究 -
The paper studies the suppressing method of ifog " s drift and build arima models of ifog random drift to compensate random drift
本文深入的研究了ifog的漂移特性，給出了隨機漂移的補償辦法。 -
Based on sample of the index from april 3, 1991 to may 31, 2001, arima models have been built with tsp computer software guided by route of " from general to specific ". the models built have better fit goodness and one point forward prediction is highly precise. but ultra - sample prediction by c + + program shows prediction precision reduces fast as the length of prediction grows, long term prediction of the index is impossible
建模表明利用tsp統計軟體結合從「一般到特殊」的建模方法，所建的模型對已有數據的擬合較好，向前一步單點預測準確性較高，但利用c語言程序進行進一步分析表明時間序列分析模型對深圳成分指數的長期預測效果明顯降低。 -
Firstly, utilizing grey - separate model makes time - series take speadily, that is to say, use the grey model to prune the trend one x ( t ) ; and the array got is a steady time array y ( t ) ; secondly, using arima models y ( t ) ; lastly, we get combined predication model of w ( t )
首先利用灰色分離模型法使時間序列平穩化，即利用灰色模型削去趨勢項x （ t廠得到的序列既是平穩時間序列y （ t廣然後利用aaima模型法對y （ t ）建模，最後得到原始數列叫t ）的組合預測模型。 -
( 4 ) the thesis converts unrest model ( arima model ) of time series to the rest model ( arma model ) of time series. it sets up models acrossing some procedures, such as model identify, factor estimation, model check, ect, then predict the development short - term warp of road foundation. it predicts the time of the filling soil of the next grade utilizing the growth theory of the strength of the road foundation, assures that the working organization and design go smoothly during the filling work of road foundation and saves time and money
（ 4 ）從路基實測變形數據出發，將時間序列非平穩性模型（ arima模型）轉化成時間序列平穩模型（ arma模型） ，通過模型識別、參數估計、模型驗證等步驟來建立模型，從而進行路基動態變形預測，利用路基變形的控制標準對路基下一級填土的時間進行預測，優化了施工組織設計，節省了時間和資金。 -
Approximate power of heteroscedasticity test in nonlinear models with arima errors
誤差的非線性回歸異方差檢驗的漸近功效 -
Hence, by observing certain characteristics, an optimal fitting model can be selected from a prior modes family, such as arima models, regression models, threshold models, and so forth
傳統的預測方法一般是根據實際觀測的統計資料去擬合各種先驗的模型如arima模型、回歸模型等，根據其實際擬合情況，找出最合適的模型。 -
Chapter2 : traditional time series models and multivariate fuzzy time series models. the chapter introduces the vector arma model, transfer arima model, seasonal arima, and arima model of traditional time series models, and two - factors models, heuristic models, and markov models of multivariate fuzzy time series models. i devise the process of the model construction, and propose the findings
本章介紹傳統時間數列模型（向量arma模型、 arima轉移函數模型、季節性arima模型以及arima模型）與多變量模糊時間數列三種模型?二因子模型（ two - factormodels ） 、引導式模型（ heuristicmodels ） 、馬可夫模型（ markovmodels ） ，模型建構步驟與流程，及傳統時間數列模型轉換為多變量模糊時間數列模型過程，並分別針對多變量模糊時間數列三種模型提出本研究不同於先前研究之處。 -
This thesis explored the application of the forecasting methods of arima time series and multivariate fuzzy time series : two - factors models, proposed by chen and hwang ( 2000 ), heuristic models, proposed by huamg ( 2001 ), and markov models, proposed by wu et. al. ( 2003 ). this thesis employed five to sixteen intervals to instead of the method proposed by huarng ( 2001 )
本文的研究重點在探究近期理論界提出的三種多變量模糊時間數列模型? ? chen和hwang （ 2000 ）所提出的二因子模型、 huarng （ 2001 ）所提出的引導式模型、 wu等（ 2003 ）所提的馬可夫模型，分別針對各模型的建構步驟、適用場合，及上述文獻未達到的部份，再做深入研究，並比較其結果。
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