時間數列趨勢 的英文怎麼說

中文拼音 [shíjiānshǔlièqūshì]
時間數列趨勢 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...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 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...
  • 數列 : progression; series; a series of numbers arranged according to a certain rule
  • 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. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. 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
  11. 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。
  12. 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。
  13. 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。
  14. At the same time, built the data warehouse system with the sale subjects as the example, built an many - dimensions database using the online analysis tool of microsoft sql sever. finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly

    同時，建立了以商品銷售主題為例的數據倉庫系統；並藉助microsoftsqlsever聯機分析工具，建立了以商品分析主題為例的多維數據庫，從不同視角展現不同匯總程度的數據；最後，建立了基於時間序列的二次指數平滑線性預測模型，進行商品銷售趨勢的分析，部分驗證了本文的設計分析。
  15. 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。
  16. In this paper, according to the periodically active characteristics shown in the historical earthquake data in this region since 1900, we describe the rule of seismicity with sine function and furthermore make a preliminary forecast of the seismicity intensity and the developing trend in northeast china till the year of 2008 by using the periodogram of time sequence and other analytical methods

    摘要根據東北地區1900年以來的歷史地震資料所顯示的周期性活動特點，用正弦函數描述其地震活動規律，並結合時間序列的周期圖及其他一些地震活動性分析方法，對該地區未來1 ~ 3年地震活動發展趨勢和地震強度作了初步預測。
  17. ( 1 ) as a whole, the qualities of the urban human settlements construction in lanzhou becomes better than ever, but the development of the nature subsystem, the construction subsystem, the supporting subsystem and the society subsystem are not in harmony, and the average advance speed of the four subsystems can be described that the supporting subsystem is quicker than the society subsystem, the society subsystem is quicker than construction subsystem and the construction subsystem is quicker than the nature subsystem

    利用蘭州市區過去1990 ? 2002年城市建設等方面的統計數據，對13年蘭州城市人居環境建設質量，在時間序列上進行了趨勢評價，並得出了以下一些主要的結論： （ 1 ）蘭州城市人居環境建設質量正向著高級化的方向演替。自然子系統、建築子系統、支撐子系統和社會子系統的發展嚴重的不協調，四大子系統平均提升速度表現為：支撐子系統社會子系統建築子系統自然子系統。
  18. Therefore, an attempt to construct a mathematical model via the traditional models and analytical methods to interpret the data and trends of a time series may result in the risk of producing over - fitting model

    這些資料若以傳統模型建構及分析方法，配合出一數學模型，來解釋時間序列的變動趨勢，往往會造成模型過度配適的危險，而資料有過度解釋的潛在危機。
  19. The commonly used quantitative forecasting method mainly includes the model of time series and cause - effect model, which need to set up corresponding mathematics model according to the historical materials and to makes prediction of the development trend of the logarithm row

    常用的定量預測方法主要包括時間序列模型和因果模型。這些模型都是根據歷史資料建立相應的數學模型，對數列的發展趨勢做出預測。
  20. Under the condition of subdivision of industry and area, the degree of structural homogeneity of manufacturing in delta area of yangtze were measured. the trends and status of the degree of structural homogeneity of manufacturing in delta area of yangtze were made clear. based on time series analytic technology, regression analysis and correlative analysis, the influence of internationalization on the manufacturing structure homogeneity was measured, the correlations between the manufacturing structure upgrading, factor mobility, merchandise mobility and the manufacturing structure homogeneity in delta area of yangtze were analyzed. the relation between the structural convergence of manufacturing and the convergence of economic growth in delta area of yangtze was analyzed

    本文首先通過比較分析對製造業同構測度方法、指標與數據類型進行了選擇，這是全文的基礎;然後在產業細分與區域條件下對長三角製造業的同構問題進行了考查，明確了長三角製造業同構的變動趨勢與現實狀況;最後研究了相關因素對製造業同構的影響:基於時間序列分析、回歸分析以及相關性分析等方法，考查了經濟國際化對長三角製造業同構的影響，探討了長三角製造業結構高級化與結構趨同的關系，分析了長三角省際要素流動、商品流動與該區域內製造業同構的關系，討論了長三角製造業結構趨同與經濟增長趨同以及工業增長趨同的關系。
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