時間序列回歸 的英文怎麼說

中文拼音 [shíjiānxùlièhuíguī]
時間序列回歸 英文
time series regression
  • 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...
  • 回 : 回構詞成分。
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 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...
  1. So we consider five financial indexes includes stock b / p, e / p, current stock size, current stock stru and financial levge by the international tradition, then descriptive statistical test method and cross section statistical test method proved that b / p and current stock size have marked effect on the securities yield besides coefficient b. in the third chapter, the article fut forward a risk factor model, estimates yield sequences of every risk factor by weight regression, and then estimates each risk factor coefficient of different stock by time sequence regression, at last we can reckon the portfolio risk o2p and yield rp which consists n stocks

    結合國際慣例，文章考慮了股票的凈值市價比（ b p ） ，市盈率倒數（ e p ） ，流通規模（ size ） ，流通比例（ stru ）和財務杠桿（ levge ）等五個財務指標，應用描述性統計檢驗和橫截面統計檢驗等多種方法，結果表明，除系數以外，凈值市價比（ b p ）和流通規模（ size ）對證券收益率部有重要的影響。在論文的第三章，提出了一個基於多因素的風險因子模型，並用加權回歸和時間序列回歸等方法估計出了不同證券的各風險因子系數（類似於單指數模型中的系數） ，據此，即可衡量出一個包括n只股票的組合的風險_ p ~ 2和收益率r _ p 。
  2. Thus this paper puts forward the dynamic time series period analysis and prediction model. it combines the basic principle of the stepwise regression period analysis to the multiplayer - transfer method. it can not only effectively select every latent period of a time series, but also take advantage of the selected latent periods to make a long - term prediction

    因此本文提出了動態時間序列周期分析預測模型，它是將多層遞階方法與逐步回歸周期分析的基本原理相結合，使之既可以有效地選取時間序列的各個隱含周期，也可以利用所選取的隱含周期作較長的時間預測。
  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. The analytical approaches involved in the dissertation includes cross section analysis 、 time series regression 、 step by step regression and contrast analysis, the following technologies also are applied, including computerizing lower partial moments ( lpm ) with matlab, processing revenue data with excel, regression analysis with eviews

    主要運用橫截面分析、時間序列回歸、逐步回歸和對比分析方法，還用到matlab編程計算下偏矩風險值， excel處理收益數據， eviews回歸分析。
  5. In this paper, we use nonparametric regression method in chinese financial time series, we also use both kernel regression after improving cross - validation function and local polynomial estimation of regression under mixing condition to study and analyze the volatility in chinese stock market

    在本文中，我們把非參數回歸的方法運用到我國實際的金融時間序列數據之中，討論了我國股價指數收益率序列的易變性。而在用非參數回歸進行估計時，選擇合適的窗寬有著重要的意義。
  6. 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。
  7. Ridge regression learning in esn for chaotic time series prediction

    嶺回歸學習演算法及混沌時間序列預測
  8. For the dynamic process of ship rolling movement, this paper analyses its dynamic date with time series analysis method and brings up this system ' s the most excellent autoregressive model ( ar model ) according to least aic criterion ( akaile, information criterion ). it reveals the regular pattern of ship rolling movement and forecasts the future value of roll angle and pitch angle, then transforms it to adjusting value of object and adjusting it according to appropriate control rules

    對于船舶搖蕩運動這一動態過程，採用時間序列分析的方法，建立系統的自回歸模型（ ar模型） ，並根據最小aic信息量判定準則保證建立的系統模型為最優化模型。利用參數模型的方式對船舶橫搖、縱搖運動的動態數據進行分析處理，揭示船舶搖蕩運動的規律，預測船舶橫搖角、縱搖角的未來值。
  9. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  10. This paper uses mathematics algorithm, to forecast the demand of natural gas and acquired some achievements. this paper makes an all - sided research for several commonly - use forecasting methods, such as time serial method, multi - variant regression method, gray system method, artificial neutral network method. the author analyzes merits and demerits of these methods and exerts these methods to forecast the demand of natural gas in sichuan

    本篇論文對幾種常用預測方法時間序列法、多元回歸法、灰色系統法、人工神經網路法等進行了全面的研究，分析了幾種方法的優缺點，運用了這幾種預測方法對四川省天然氣的需求量進行了預測，取得了比較好的效果。
  11. There are many methods to gas load forecasting, including : regression analytical method, time serial method, elasticity coefficient forecasting, index analytical method, grey method, fuzzy logic forecasting, artificial neural network forecasting model, experts system forecasting model, optimizing combination forecasting model, etc.

    用於燃氣負荷預測的方法很多，包括:回歸分析法、時間序列法、彈性系數預測法、指針分析法、灰色預測法、模糊邏輯預測法、人工神經網路預測法、專家系統預測法、優化組合預測法等。
  12. The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together.

    論文首先藉助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報藉助基於自組織法求解的的volterra級數來完成，然後將兩者結果疊加起來。
  13. Stock liquidity and asset pricing : empirical analysis from the perspective of time - series regression

    基於時間序列回歸的實證分析
  14. Furthermore, multi - investments can resolve the most part of nonsystematic risk. in chapter 4, the thesis estimated the value of by means of time series regression firstly. secondly, we used ways of equilibrium analysis to test the risk - return relation of shanghai a - share

    在第4章，本文先通過時間序列回歸估計了樣本股票的值，然後以上證綜合指數作為市場組合分期進行橫截面檢驗來考察上證a股的風險-收益關系，本章採用了均衡分析方法。
  15. Inside the scope of the defined it plate, according to the theoretic mode which describes the relationship of the scale of the stock market and the incensement of economy, the paper establishes a time series regression model. in the regression equation, the independent variables are numbers of broad sense chinese it listed companies ; the dependent variables are added values of it industries

    在界定完成的信息技術板塊范圍之內，參照股市規模與經濟增長關系的理論模式，本文建立了以廣義信息技術產業上市公司數量為應變量，以該產業增加值為解釋變量的時間序列回歸模型，所取的時間截面為1992 ? ? 2000年。
  16. In chapter 2, an economic concept - location quotients ( lq ) is introduced into the mathematical part of this article, in order to isolate what a city does well, and to find which of its industries export to the rest of the nation. author manipulates last five years " lq from data on farming, forestry, animal husbandry, coal, rude oil, tourism, export and import, population and etc, argues that we could know weather there is a larger than normal concentration of activity in the region, and weather there is a trend of regular develop trace of this activity by running a time series simple autoregression, which provides a feasible analysis tool for people to judge and choose an advantageous industry within this region

    第二章，採用區位商的方式和賦予的經濟意義，通過計算，比較了過去5年中甘肅、寧夏兩省區在農業、林業、畜牧業、漁業、煤炭、原油、旅遊、進出口、人口等與資源產業密切相關的行業的區位商，並提出通過對所獲得的區位商數據建立有序的單變量時間序列回歸模型，可以獲知某項資源產業是否在該省具有明顯的優勢的計量方法，為判斷並選擇區域性的優勢產業提供了一種可行的分析工具。
  17. So, the real exchange rate of rmb is chosen as the objective of this study. firstly, the international exchange rate theories are reviewed, on the basis of which one - variable autoregressive models of time series are put forward. then, according to analyzing real exchange rate theories and the properties of rmb ' s real exchange rate, a linear autoregressive model and two nonlinear regime switch models are selected as tools for this research

    首先，本文對匯率的理論研究進行了回顧，提出了使用時間序列的一元自回歸模型，然後，在對實際匯率的理論研究，以及人民幣實際匯率本身所具有的特點進行分析的基礎上，選擇使用線性自回歸模型和非線性的制度轉換模型中的自我激勵閾值自回歸模型和平滑過渡自回歸模型來描述實際匯率的動態行為特徵。
  18. Chapter two discourses the basic theory, calculation model and main advantages and disadvantages of regression analysis and time series analysis. chapter three discusses grey system theory in detail, including the basic theory, grey incidence analysis, model in common use and forecasting method. chapter four analyzes the results of flexibility deformation of 270 meters span continuous rigid frame bridge of humen bridge, calculated with regression, time series and grey system model

    第1章介紹了變形監測的目的、意義、分類以及變形分析與預測研究的現狀和進展；第2章論述了回歸分析和時間序列分析的基本理論、計算模型和主要優缺點：第3章詳細討論了灰色系統理論，包括建模的理論基礎、灰色關聯分析、常用模型和預測方法；第4章為採用回歸模型、時間序列模型、灰色系統理論模型，對虎門大橋270米混凝土連續剛構橋施工中的撓度變形進行的計算分析。
  19. After that, she adopts game theory to study twice price reductions. from the game primary factors such as participants, strategy and benefits, she sizes up the efficiency of the price competition, and analyzes the strategical selection system in competition and cooperation between humen bridge co. and humen ferry co. in the third section, firstly, she draws out the linear regression formula with time series data and vehicle flow to estimate future flow under the condition of un - reducing price with the tools of statistics

    第三部分先用統計學的基本原理和分析工具求得虎門大橋車流量與時間序列的線性回歸方程，來推算假設在未調價條件下的年流量；再運用管理經濟學的價格彈性理論比較調價前、后的車流量和價格的變化關系，求出二類車的價格彈性系數，用以判斷虎門大橋這次二類車調價策略的效率性。
  20. In this paper, subjects mainly focused are as follows : to meet with the requirement of forward business and the establishment of mid - long term generation planning of hydroelectric plant, the yearly runoff and the monthly runoff are studied in this paper, providing many kinds models that suited to min - long term runoff forecast, including the time series analysis, the nearest neighbor bootstrap regressive model, the grey topological model, recession curve model, threshold auto regression, mean generating function, and ann model etc. the forecast result proves that these models are useful

    本文從以下幾方面進行了較為深入的研究： （ 1 ）為了滿足水電廠的期貨交易及編制水電站中長期發電計劃的需要，本文對年、月徑流預測進行了研究，提出了徑流中長期預測模型，包括：時間序列模型、最近鄰抽樣回歸模型、灰色拓撲預測、退水曲線模型、門限自回歸模型、均生函數模型及神經網路模型等，從預測成果來看，效果較好。
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