time series model 中文意思是什麼
time series model
解釋
時間序列模型-
Agglomerative effectiveness : the effect on regional economical inequality because of industrial agglomeration. in order to show the effects of industry on regional inequality, the model of panel data is applied to analyze the relationship between industrialization and economy growth., which is helpful to estimate whether the tendency of growth is convergence and the structural effectiveness. the time series model is used to analyze the effect of industrial agglomeration on regional inequality, where gini coefficient is taken as the index of industrial agglomeration
為了更清楚地把握工業在地區差距上的效應，本文用面板數據模型分析工業化程度和經濟增長之間的相關關系，從而判斷區域經濟發展趨勢是否收斂，工業在「結構效應」方面的影響;計算表示工業集聚程度的基尼系數，通過時間序列模型分析工業集聚對地區經濟差距的「集聚效應」影響。 -
It also analyzes the history and the present situation of the shift in village in this part. in the fourth part, i establish employment elastic time series model to analyze the ability of absorbing labor. finally, some supporting stratagems are proposed to promote village surplus labor shift, to adjusts the employment structure and to optimize the industrial structure
第三部分用特化系數考察江蘇各區域的勞動力分佈情況，並分析了江蘇農村剩餘勞動力轉移的歷史和現狀，以及存在的問題;第四部分建立就業彈性的時間序列模型，對非農產業的勞動力吸納能力進行定量分析，並對非農產業內部具體產業的勞動力吸納能力作了比較;最後，把區域空間結構發展模式與江蘇經濟發展的具體特徵融合到一起，提出轉移江蘇農村剩餘勞動力以調整就業結構，並促進產業結構結構優化和經濟協調發展的政策建議。 -
The parametric estimation of the firse order double linear time series model
一階雙重線性時間序列模型的參數估計 -
Tab to display the tree view of the time series model
選項卡可以顯示時序模型的樹視圖。 -
Sea level prediction based on time series model
基於時間序列分解的海面變化預測 -
Bayesian estimation of time series model with trend
時間序列趨勢項的貝葉斯估計 -
We choose the forest appearance tidiness, representative stands serving as standard plots, 40 stands were set up at qinling, hanzhong, huanghong in shaanxi respectively, measure every tree in the stands, measure the actual increase by the dominance tree, the time series model of individual age and diameter of quercus variabilis was established according to the actual diameter of quercus variabilis population by the fluctuant time series, the comparison of simulation and reality value of the every stand of quercus variabilis population diameter increase through the four models, the average simulation difference within 1. 5 %, the accuracy is 97. 8 % the simulation effect is better
在陜西的秦嶺、漢中、黃龍地區選擇林相整齊、有代表性的地段作為標準地，設置樣方40個，對各樣方內的林木進行每木檢尺，通過優勢木解析的方法，測得栓皮櫟種群胸徑的實際生長量，運用起伏型時間序列分析，建立了栓皮櫟種群個體年齡與胸徑生長的時間序列模型，四個模型所得的各個樣地栓皮櫟胸徑生長的模擬值與實際值進行比較，其模擬平均誤差都在1 . 5 %以內，平均精度達到97 . 8 % ，模擬效果較好。 -
Then the paper investigated the regularity of different oil indices using time series statistical analysis method, which suggested that there are some regular components in it, including long - term secular trend, seasonal component and long - term cyclical component. the irregular component also plays an important part in it, mainly including the policy of opec, war, all kinds of international convention for the prevention of pollution from tankers and so on. and then a study of simulation and forecasting performance of arima time series model was conducted to crude oil indices, evidence shows that arima model performs better, especially for short - term forecasting
在此基礎上，本文以時間序列分析作為基礎研究手段，以德國海運費率指數公布的1980年1月至1999年12月的四類油運費率指數為研究對象，分析了四類油運費率指數的長期變化趨勢、季節變化規律、長期周期循環變化規律和不規則變化規律，並應用arima時間序列模型對160000dwt以上的原油運費率指數進行了短期預測，取得了較好的預測效果。 -
Considering the characteristic of vibration of rotary machines, this thesis makes a thorough discussion of forecasting the trend of vibration by a means of time series model, puts forward means of processing the nonstationarity, nonnormality and singular value of the field data and distinguishing their models to build a appropriate model and gets precise mulstep forecast to the trend of vibration
針對旋轉機械的振動的特點，本文深入討論了利用時間序列模型預測振動趨勢的方法，並提出了如何處理現場數據的非平穩性，非正態性，奇異值和模型類型判別方法，以構建合適的模型，實現對振動趨勢進行準確的多步預測。 -
It uses factor analysis method and dualistic relative comparative method to account the ability place of a loan enterprise in its industry, which can confirm the station in its industry better. by using time series model to forecast an enterprise ' s cash flow in the future, we can measure the repayment ability of an enterprise. by using logit model to account the probability of default for a loan enterprise, we can estimate the possibility of its default
運用因子分析法和二元相對比較法計算貸款企業在本行業中的財務能力排名，更好地確定其在本行業中的地位；運用時間序列模型預測企業未來的現金流量，從而測度貸款企業未來的還款能力；運用logit模型計算貸款企業的違約概率，估計其違約的可能性；從貸款企業的行業風險、經營風險、管理風險、借款人還款意願等方面對貸款企業的非財務因素進行分析。 -
The limit behavior of a class of nonlinear time series model with stochastic delay
一類帶隨機延滯的非線性時間序列模型的極限行為 -
By means of trigonometrical progression method and the mainline track spectrum, the sample function of the chinese mainline railway track random geometric irregularity is simulated. with the data obtained from track geometry inspection car on qinhuangdao - shenyang special line for passenger transport and arma time series model, the sample function of high - speed railway track random geometric irregularity are simulated. based on existing literature, the artificial bogie crawl waves at various different speeds are randomly simulated
根據我國干線鐵路軌道譜，採用三角級數法模擬出干線鐵路和準高速鐵路軌道不平順的樣本函數；根據秦沈客運專線高速試驗段軌檢車資料，採用arma時間序列模型模擬了高速鐵路軌道不平順隨機樣本函數；在既有研究資料的基礎上模擬出各種速度客車構架人工蛇行波；用隨機變量描述道床橫向剛度，並進行了隨機模擬；將振動理論和穩定理論結合建立系統的分析模型和運動方程；根據monte ? carlo法編制了車輛?軌道耦合系統隨機振動分析程序，進行了無縫線路隨機動力響應分析，通過試驗對計算模型、計算方法進行了驗證。 -
Abstract : a simple scheme of establishing bilinear time series model ( bm ) is presented for predicting atmospheric co2 concentration. the example shows that the scheme is practical and universal, which has major theoretic value and wide - ranging application in prediction of various nonlinear time series
文摘:提出了用雙線性模型預測大氣co2濃度序列的一套簡便方案.實例計算結果表明，該方案具有實用性和通用性，在各種非線性時序預測中具有重要的理論意義和廣泛的應用價值 -
Research on time series model of the stock price index in china
我國股價指數的時間序列模型研究 -
Time series model of a disk - type actuator of electrorhelogical fluid
盤式電流變傳動裝置的時間序列模型 -
We have combined qualitative analysis and quantitative analysis to foresee the market size. firstly, we found the relative factors influencing the truck market through qualitative analysis and picked up several main factors by quantitative analysis, such as highway mileage, social fixed assets investment capital and consumption expenditure, etc. secondly, we set up four models by using those factors. the four models are a time series model, a multiple regression model, a factor regression model and an integrated model
首先，通過定性分析找到了影響我國載貨汽車保有量的相關因素，接著又進一步進行定量的分析，從而確定了公路里程數、基本建設固定資產投資額和我國社會消費支出額等為主要影響因素;然後，利用前面的分析結果構造了三個模型，即時間序列模型、多元回歸模型和因子回歸模型，並綜合幾個模型的優點建立了一個綜合的預測模型，這一部分也是全文的重點部分;最後，分析比較了各模型的優劣並給出了每個模型的適用情況。 -
Identification of time - varying modal parameters of structure using output error time series model
利用輸出誤差時間序列模型識別結構時變模態參數 -
The comparison of three models ( single variable time series model 、 multivariable time series model and gray prediction model ) shows that the multivariable time series model ' s prediction precision is the highest. it indicates that using recurrent composed bp networks can exactly predict the boiler fault in order to prevent the fault, and help operator of power plant to adjust the parameters in a permitting range
通過基於遞推合成bp網路的單、多變量時間序列模型與灰色預測模型的預測精度分析計算表明，應用基於遞推合成bp網路的多變量時間序列模型能較準確的預測鍋爐故障，指導運行人員對機組進行即時調整，使預期的參數在允許范圍內，以避免故障的發生。 -
The real - time quality monitoring system of powder compacting based on time series model
基於時序模型的粉末壓製成形實時質量監控系統 -
This paper uses systematic project for energy system according to jiangsu and ten province energy conditions in west. it applies nonlinear chaotic dynamics theory in energy system and builds the chaotic dynamics model of energy system : chaotic time series model. the largest lyapunov index energy time series has been calculated according to decimal quantity method
本文根據江蘇及西部十省能源狀況，利用系統工程的方法對能源系統進行研究，將非線性混沌動力學理論應用於能源系統中，建立能源系統的混沌動力學模型：混沌時間序列模型，採用小數據量方法來計算了能源時間序列的最大李雅普諾夫指數。
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