時間序列趨勢 的英文怎麼說

中文拼音 [shíjiānxùlièqūshì]
時間序列趨勢 英文
time series trend
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 趨 : 動詞1. （快走） hasten; hurry along 2. （向某個方向發展; 趨向） tend towards; tend to become
  • 勢 : 名詞1 （勢力） power; force; influence 2 （一切事物力量表現出來的趨向） momentum; tendency 3 （自...
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  • 趨勢 : trend; tendency; drift; current; tide
  1. 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。
  2. This unevenly location of fdi and it ' s fluctuate trend affected the balanceable development of regional economy profoundly. based on the international capital flows and the economic facts of fdi flowing into china, this paper establishes an analytic framework with international economics and regional economics, then analyzes the effect of fdi on regional economic growth and in the end put forward the regional policy advice which would stimulate foreign investments inflowing into china

    本文以經濟全球化趨勢下的國際資本流動和改革開放的經濟現實為背景，借鑒新制度經濟學和新古典經濟學分析方法，建立了國際經濟學、區域經濟學和發展經濟學的分析框架，理論分析與實證研究相結合，重點運用數理統計方法和計量經濟模型，利用時間序列和橫斷面數據對fdi對我國區域經濟增長的影響進行了全面分析，並提出了引進外資的區域政策建議。
  3. This article utilizes the questionnaire survey and the scene investigation method, conducts the investigation and study to the yangtze river delta area silk expense in the foundation, the utilization supplies and the demand balanced analysis theory, the time series law, the tendency pre - measurement, the season analyzes the pre - measurement, the elastic analysis theory, as well as method and so on return analytic method carries on the comprehensive analysis to the cocoon silk profession, promulgates the influence cocoon silk profession development in order to the restriction factor, and seeks corresponding solution silk market long - term equilibrium and weakens the price undulation frequent countermeasure

    本文運用問卷調查和現場調查方法，對長江三角洲地區的絲綢消費進行調查研究的基礎上，運用供給和需求均衡分析理論、時間序列法，趨勢預測法，季節分析預測法，彈性分析理論，以及回歸分析法等方法對繭絲綢行業進行全面的剖析，以求揭示影響繭絲綢行業發展的制約因素，並尋求相應解決絲綢市場長期均衡和減弱價格波動頻繁的對策。
  4. Generally, the euclidean distance and k - means algorithm can be used to clustering the time series, but it is hard to separate the time series with great different variability well

    通常可採用歐式距離及k均值演算法進行時間序列聚類，但經分析發現單憑此方法還難以實現不同變化趨勢的交通流時間序列的有效分離。
  5. Since the knowledge of wto rules has been missed long time and the transparency of the related information the study needs is poor due to the organization and management system barriers, many previous studies were of cause hard to deeply and completely analyze the international competitiveness of departments, industries, regions and backward industries, hard to figure out the nature of the problems or issues and to put forward right and feasible strategy options. as to the study on the increase of the husbandry international competitiveness in all ways, there are few reports

    所構建的比較優勢與綜合指標互動式測定評價模型，不僅僅從總體角度，還結合從部門、行業、區域、相關產業的角度，通過加權、分解等途徑，全面測定評價畜牧業競爭力；不僅僅通過截面數據識別比較優勢和競爭力的現狀，還通過時間序列數據識別比較優勢和競爭力的趨勢，同時通過國際數據識別中國畜牧業比較優勢和競爭力在世界的地位現狀和趨勢。
  6. Bayesian estimation of time series model with trend

    時間序列趨勢項的貝葉斯估計
  7. 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。
  8. Use of time sequence method to predict the future growth trend of the fixed network telecom industry revenue ; contrasting the fixed telephone development of town and village, adopting logistic growth curve econometrics method to analyze three development stages of chinese village fixed telephone market ; draw a conclusion that the chinese village fixed telephone has a huge development potential ; and predict the development trend of village fixed network telecom in several years ; adopting logistic growth curve method to calculate and analyze internet business growth stage ; while studying internet development potential, we draw a conclusion that internet business also have a good growth foreground, and give a quantitative predict of internet industry development

    運用時間序列外推法預測未來固網電信業收入增長趨勢;通過城鎮與農村固定電話發展對比，採用logistic成長曲線計量經濟方法分析了中國農村固定電話市場發展的三個階段，認為中國農村固定電話處于高速發展的中期，具很大的發展潛力，並定量預測出未來中國農村固話發展趨勢;在研究網際網路及寬帶接入業務發展潛力時，同樣採用logistic成長曲線計量方法，分析了網際網路業務成長階段，得出網際網路業務尤其是寬帶業務具有很好的增長前景的結論，並定量預測出未來網際網路業務、寬帶業務的增長趨勢。
  9. 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。
  10. The paper decomposes the visitor ' s flow sequence made of different frequencies into the low and high frequencies in the multi - resolution analysis according to the characteristic of visitor ' s flow sequence frequencies and then restores the trend components according to the reconstruct principle of wavelet coefficients, in order to deduce the visitor ' s flow trend

    摘要根據旅遊流量的頻率分佈特性，運用小波分析將不同頻率成分組成的時間序列分解成低頻和高頻成分，然後依據小波系數的重構原理還原時間序列的趨勢成分，判斷旅遊流量時間序列的趨勢變化。
  11. According to the numbers of segmentations, dts has multi scale feature and can reflect different trend similarity of time series under various analyzing frequency. 2 ) an enhanced algorithm, based on dual threshold value, and the conception of sub - series linear are proposed. relative point average error is used to measure the linear degree of sub series, which produced by bottom _ up algorithm

    對應時間序列線性分段數目的不同，序列趨勢距離具有基於時間的多尺度分析特性，可以有效反應不同分析頻率下時間序列的相似程度； 2 ）採用相對點平均殘差衡量bottom _ up演算法劃分的子序列線性度，提齣子序列線性度概念和一種雙誤差閥值改進演算法，大大提高了趨勢序列模型的準確性。
  12. With the increasing amount of data of time series in hydrological databases, it is very important in f100d forecasting and f100d dispatching to study the methods of retrieving similarity and then find the rules and tendencies contained in the hydrological time series

    水文數據庫中存在大量時間序列數據，發現水文時間序列中蘊藏的規律，有利於掌握水文數據變化規律和趨勢，在洪水預報、防洪調度方面有重要的現實意義。
  13. Second, the coordinate figure of the first and second principal components is of great audio - visual sicnifcance. it can clearly show the distinguishing feature and similarity. this is a very useful analyzing means. third, the factor analysis can be used completely to analyzing the aligning datas in time, its calculating results reflect totally the developmental trend and changing reasons of the textile industry in tianjin

    分析結果表明： （ 1 ）在適當選取指標后，使用主成分分析法，可以將第一主成分作為一個地區綜合經濟實力的度量，其公式具有穩定的系數且結果可靠可信： （ 2 ）主成分坐標圖（如圖3 ）具有很強的直觀意義，各省市的特點及相似性都非常清楚地展示出來，這是一個很有用的分析工具； （ 3 ）因子分析法完全可以作為時間序列數據的實證分析，其計算結果客觀全面地反映出天津紡織工業的發展趨勢及其變動原因。
  14. Ann based on trend identify and the application in hydrological time series forecast

    基於趨勢辨識理論的神經網路及其在水文時間序列預報中的應用
  15. The distance of trend series ( dts ) can be calculated quickly after trend projection

    通過趨勢投影，實現時間序列趨勢距離的快速計算。
  16. This part first forecasts the level of urbanization of yantai city in 2010 by means of converting surplus labor force. then it brings forward specific countermeasures to the existing problems of urbanization

    首先採用時間序列趨勢預測和剩餘勞動力轉化法對煙臺市200年的城鎮化水平進行了預測，並在此基礎上，針對煙臺市農村城鎮化發展中存在的問題，提出了具體的對策。
  17. Sigmod 2005 conference, maryland, usa, 2005, pp. 51 - 62. 6 jinze liu, jiong yang, wei wang. biclustering in gene expression data by tendency

    另外，基於趨勢的方法認為基因在每個屬性上的表達值相互獨立，忽視了時間序列數據的序列本質，因而也不適于基因
  18. In this approach, the concentration and development trend of gases dissolved in transformer oil are predicted primarily using gm ( 1, 1 ) model, and then the predicted results are calibrated by self - learning bp - neural networks with calibrated parameters obtained by analyzing the interaction of different types of gases and the relationship between the time sequences of gas concentrations

    此法是利用gm （ 1 ， 1 ）模型初步預測油中溶解氣體的濃度及變化趨勢，通過分析故障氣體組分之間的影響及氣體濃度時間序列之間的關系確定修正參數，將初步預測結果與修正參數作為自學習bp網路的輸入，從而完成預測結果的在線修正。
  19. This paper used the method of e - conometrics made a forecast of china ' s industry of pharmacy in 2050 and studied the trend and set up a lot of models. from the view of exterior we forecast the gross products of domestic of pharmacy. from the view of interior we forecast the frame of pharmacy ' s market and performance

    本文運用計量經濟學方法對未來五十年醫藥產業的發展趨勢作了研究，建立了多個時間序列模型，並預測了2050年醫藥產業狀況文章從外部與內部兩個視角對醫藥產業進行了預測分析，外部從宏觀方面通過對醫藥產業的產值，資金利稅率，企業數量以及醫藥產業在gnp中所佔的比重的預測，描述了醫藥產業的宏觀發展前景。
  20. An improved ar model is studied, which established by the combination normal order time serial and contrary order data in case the observations are less, and then, the combination model with improved grey and time serial is introduced. it can reflect not only the deformation tendency, but also the stochastic characters. it is very suitable to be applied to deformation analysis and prediction

    為了充分利用有限的地表變形數據所蘊涵的內在規律性，提出了利用變形數據的正逆時間序列建立ar模型的方法，並與時變灰色模型組合，不但可反應出變形數據序列的趨勢性，同時還可表現出其隨機性，從而可進一步提高預測的精度和效果。
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