序列相關模型 的英文怎麼說

中文拼音 [xùlièxiāngguānmóxíng]
序列相關模型 英文
serial correlation model
  • 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...
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 關 : Ⅰ動詞1 （使開著的物體合攏） close; shut 2 （圈起來） shut in; lock up 3 （倒閉; 歇業） close down...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 相關 : be interrelated; be related to; be bound up with; correlation; dependence; relevance; mutuality
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  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. ( 2 ) it explains the basic concept of time series, some kinds of the common time series models and the development characteristics of time series in detail. it analyses how to judge the model from the self - related function and the deviation related function. determining a better standard to set up models from the comparison of some kinds of fixed step time series standards, then predicts utilizing the counter function

    （ 2 ）詳細闡明了時間序列的基本思想、幾種常見的時間序列模型以及時間序列的動態特徵，分析了如何利用自相關函數和偏相關函數來對模型進行判定，通過對時間序列的幾種定階準則的比較，確定一種好的定階準則來建立模型，從而可以利用逆函數法進行預報。
  3. The conclusion is valuable in studing relationbetween exports and economic growth. taking account of nonstationary, dynamic paneldata model is estimated, and revise the problem of residual errors sequence correlation

    在此基礎上對模型做了改進，最終得到了動態面板數據模型，修正了殘差序列相關性的問題。
  4. In addition, the second part of text adopts mmg segregative math model and correlative series test result and built ship manoeuvre movement equation of one propeller and one rudder ocean transport ship in still deep water. besides, the text used math model to workout calculated program that was modeled on ship ' s turning trajectory and zigzag manoeuvre

    另外，論文後半部基於mmg分離式數學模型及相關的系列化試驗結果，建立了單槳單舵海洋運輸船舶在靜水中的船舶操縱運動方程，利用數學模型，編制了計算程序，對船舶回轉運動、 z形操縱運動進行了數學模擬。
  5. Thereafter, the applications of go sequences in single - cell s - cdma systems are discussed in this thesis. in additive white gaussion noise ( awgn ) channel, interference components in s - cdma systems accommodating more users than the spreading factor is analyzed based on the theoretical bound of the periodic correlation mean square property. then two interference - suppressed s - cdma system models of augmented capacity are proposed, along with the analysis and simulation results

    在加性白高斯噪聲（ awgn ）通道條件下，以序列集周期相關均方特性理論界為基礎，對序列個數大於系統擴頻因子的s - cdma系統干擾組成進行了分析，並基於截短wh序列提出了兩種高容量低干擾s - cdma系統模型，給出了分析和模擬結果。
  6. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找等方面，所做的工作和取得的創新成果體現在以下三個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  7. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找，在線相似性查找以及最終的分析應用系統開發等方面，所做的工作和取得的創新成果體現在以下五個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  8. We can find a polynomial model of a time series in case its associated matrix is not diagonal and not of full rank by using the transformations of the exponential and the logarithm

    對于不能對角和不滿秩的時間序列矩陣，運用指數對數的可逆變換及相關的列變換化為滿秩可對角的時間序列矩陣，從而找到代數多項式模型。
  9. We analyse the dispersion of stock returns and have the tests of serial correlation. the results show that the trading mechanism has a significant effect on a number of characteristics of stock returns. first, the distribution of open - to - open returns has greater variance than that of close - to - close returns. second. the serial correlation pattern is quite different in the two return series. the open - to - open returns have negative autocorrelation coefficient, but the close - to - close returns is positive. further, employing an arma ( 1, 1 ) model we find that in the opening. returns exhibit higher residual noise and stronger dependence on past returns, reflecting stronger deviations from the random - walk form of the market efficiency hypothesis

    主要表現為：一，開盤收益序列比收盤收益序列具有更大的方差。二，兩種收益序列的序列相關形式不同，開盤收益序列表現為負相關，而收盤收益序列表現為正相關。而且我們通過arma （ 1 ， 1 ）模型的進一步檢驗，發現開盤收益序列比收盤收益序列具有更大的殘差，更依賴于過去的收益序列，也更偏離於市場有效的隨機遊走形式的假設。
  10. 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。
  11. Firstly, the pretreatment of character to be recognized is researched, stressed discussing the subdivisional process of character, and a kind of fast shape preserving morphological thinning algorithm is used. in the following, how to construct the structure model on the basis of characteristic point ) sub - stroke and their interrelation is discussed, and a kind of method that describe sub - stroke through the feature of the sequence of curvature is brought forward. finally, the paper adopts the recognising model of printing number that base on repository, and describes the constructing method of repository

    文中首先對待識別字元的預處理進行了研究，著重探討了字元的細化過程，採用了一種基於數學形態學的保形的快速細化演算法；接著探討了如何以特徵點和子筆段及其相互關系為基礎構造結構模型，提出了一種以曲率序列性質描述子筆段的方法：最後採用了以知識庫為基礎的印刷體數字識別模型，並詳細地描述了知識庫的構造方法。
  12. Moreover technical designing module, expert auditing module and system assistant module are discussed in the system. the collectivity structure and flow chart of the system are designed. adopting oo ( object oriented ) visual programming in application, then the system implements such function : data inputting, querying and browsing, modifying and editing, report form printing, data collecting and calculating, problem consulting of cocoon - cooking as well as system maintaining.

    並對工藝設計模塊、專家審核模塊及系統輔助模塊進行了分析探討，設計了系統的總體結構和流程圖，在應用程序設計中採用面向對象的可視化編程，進而實現了數據錄入、查詢瀏覽、修改編輯和報表列印等處理，數據的匯總和簡單計算，工藝模型的建立，煮繭相關問題問答，系統維護等方面的功能。
  13. As a result, the studying aim of this paper is to establish a practical and complete system for the prediction of ship maneuvering motion, taking into account of the influence of the environmental factors, such as the wind, wave and current, establish a practical and complete system for the prediction of ship maneuvering motion. in this paper, the opengl virtual reality simulation technique is introduced into the field of ship maneuver and control, and using the mmg mathematical model, the three dimensional dynamic simulation system of the ship motion is established and good results are achieved. in the process of the system development, firstly, the maneuvering motion equations for ship in the still water are established, based on the mmg module mathematical model and serial experimental result

    在系統開發過程中，首先採用mmg分離式數學模型及相關的系列化試驗結果，建立單槳單舵海洋運輸船舶在靜水中的船舶操縱運動方程，並編制計算程序，經與試驗結果比較，證實了計算結果的正確性;為了解mmg數學模型中模型參數變化對操縱性指數的影響程度，作者在上述已有程序基礎上，對有關模型參數進行偏移修正，探討了相應參數變化后的操縱性指數，對船舶操縱性指數對模型參數的靈敏度進行了詳細的分析與探討，所得結論與工程實際相吻合，具有實際應用價值，並為進一步提高船舶操縱性預報的精度打下了基礎;然後，在已有的船舶靜水操縱運動模型基礎上，考慮雙槳雙舵的影響，建立了內河雙槳雙舵船舶的操縱運動模型;最後，綜合考慮風浪流作用力的影響，進行了船舶的操縱運動模擬計算。
  14. 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。
  15. From results we know that correlation of return time series is not obvious, but correlation of the square time series of return, i. e., variance time series, is clear. so we use garch model to estimate conditional variance, and calculated parameters in model by the way

    應用相關性分析，得出了收益率序列之間不存在明顯的序列相關性，而收益率平方序列存在顯著的相關性，即方差序列存在相關性，因此我們使用g刁rch模型建模來估計條件方差，計算出了模型中的相應參數
  16. Through the i 、 q component of ipix radar sea clutter data " s histogram analyses and by skewness and kurtosis computed, it is been shown that sea clutter amplitude is not rayleigh distribution ; through the comparison of amplitude histogram and distributed models with the same parameters, it is been shown that hh polarization clutter is lognormal distribution, whereas vv polarization is k - distribution ; at the same time the correlation function and power spectrum density are been analyzed, at last the correlation compound k - distribution stochastic sequences whose covariance matrix is been given are been generated through sirp algorithm

    文中先介紹了海雜波幅度的有關模型，通過對ipix雷達海雜波數據的i 、 q分量的直方圖以及傾斜度和峰度進行了分析和計算，證明了海雜波幅度不服從瑞利分佈;使用幅度直方圖和相同參數下的各種分佈模型進行比較，得出hh極化符合對數正態分佈，而vv極化服從k -分佈的結論;同時對海雜波的相關函數和功率譜進行了分析，最後使用sirp演算法產生了給定協方差矩陣的相關復合k -分佈隨機序列。
  17. This paper, however, avoiding just making use of data concerning oil and gas consumption, turns to investigate economic factors in relation to energy consumption, and sets up genetic neural network model and time order model so that function relations are established between economic factors and energy consumption

    本文打破了就單一的數據本身進行預測的模式，提取在經濟指標中與能源消費關系密切的影響因素，從這些影響因素和能源消費的抽象關系出發，分別通過建立遺傳神經網路模型、時間序列模型，尋求它們的函數關系，並利用組合預測原理及相應模型，結合我國宏觀經濟發展目標，預測了我國未來的能源需求情況。
  18. In this thesis, the ood method and such technologies as mfc, api, dll, and multi - thread will be talked about. secondly, pca and pls ca n ' t deal with time dependent data, and arma model can be used to solve this problem, but the problem of arma structural modeling must be solved

    2 ）針對主元分析法、偏最小二乘法這兩種降維技術不能處理序列相關的動態數據的問題，可以用arma模型提取出動態數據中的序列獨立的擾動信號，但首先必須解決arma的結構建模問題。
  19. The relationship between gdp and export of the prc ’ s province, cities, and autonomous regions is analysed in panel data set : gdp and export annul datafrom 1992 to 2004 in the prc ’ s province, cities, and autonomous regions. empiricalanalysis show that the fixed two panel model is better than other model, but exist theproblem of residual errors sequence correlation

    同時利用中國內地省區市1992年至2004年的年度國內生產總值與對外出口貿易總額的面板數據做了大量實證分析，發現雙向固定效應模型比較適合此面板數據集，但是存在殘差序列相關的問題。
  20. Empirical likelihood ratio test for serial correlation in partial linear model

    部分線性模型序列相關的經驗似然比檢驗
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