隨機時間序列 的英文怎麼說

中文拼音 [suíjīshíjiānxùliè]
隨機時間序列 英文
stochastic time series
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 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...
  • 隨機 : random stochasticrandom
  • 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. Based on consider hereinbefore, this dissertation discusses several aspects on the problem of the sustainable and optimum exploitation of groundwater resources as follows : ( 1 ) reviewed entirely the origin and evolvement of the concept " sustainable development ", stated and commented the study status in queue on " sustainable development " around national and international range, thorough discussed the science connotation about the concept " sustainable development " ; ( 2 ) looked back and commented across - the aboard some furthest basic concept and proposition related to groundwater resources, put forward self opinions on a few existent mistake points of view and chaos understandings ; ( 3 ) expatiated entirely on the content and meaning of the theory of changeable groundwater resources system, contrast with the traditional methods of groundwater resources calculation and evaluation, combined example to show the application of this theory ; ( 4 ) thorough analyzed the difficult and complexity to forecast the groundwater resources, fully stated the traditional methods of groundwater resources forecasting, pointed out the characteristic and applying condition of these forecasting method, introduced the main ideas and methods of wavelet analysis developed recently, and the matlab software be known as the fifths era computer language, and its accessory wavelet analysis toolbox, applied these methods and tools to analyze the groundwater dynamic curve, adopted the b - j method and morte - carlo method, combined with the theory of changeable groundwater resources system, discussed the new view on the forecast of groundwater resources ; ( 5 ) synthetically analyzed the characteristics and limitations of the present all kind of groundwater manage model, combined mathematical programming mathematical statistics random process and the theory of variation system of groundwater resources on the unite optimum attempter of surface water and groundwater, emphasized how to make the model more nicety, more simple, more practicality ; ( 6 ) analyzed the inside condition and outside condition to assure the sustainable and optimum exploi tation of groundwater resources, the inside conditions are the follows : correct resources idea, scientific methods of resources calculation and evaluation, credible forecast methods of resources, exercisable measures of resources management, the outside conditions are the follows : the development idea of high layer, the transform of manage system, the matched policy and rule of law, the adjusted of economy lever, the improve of cultural diathesis, the boosting up of water - saving consciousness and detail measures, the control of population rising, the prevention and cure of water pollute, the renew and rebuild of ecology ; ( 7 ) scan the sustainable and optimum exploitation of groundwater resources from the high level of metagalaxy, earth system science, and philosophy ; lint out the more directions on groundwater resources

    基於以上考慮，論文主要從以下幾方面對地下水資源可持續開發問題進行了比較深入的探討：全面回顧了「可持續發展」概念的由來與演變，對國內外「可持續發展」的研究現狀進行了述評，並對「可持續發展」概念的科學內涵進行了深入探討；對涉及地下水資源的一些最基本的概念和命題進行了全面的回顧和評述，對目前仍然存在的一些錯誤觀點和混亂認識提出了自己的見解；全面闡述了地下水資源變值系統理論的內容和意義，並與傳統的地下水資源計算評價方法進行了對比分析，結合實例具體說明了方法的應用；深入分析了地下水資源預測預報工作的極端重要性和復雜性，對傳統的地下水資源動態預測方法進行了全面的評述，指出了各類預測預報方法的特點及適用條件，對最近二十多年剛發展起來的小波分析技術的主要思想和方法及其應用范圍，以及號稱第五代計算機語言的matlab軟體和附帶的小波分析工具箱進行了介紹，並應用於地下水動態過程線的分析，採用時間序列中的b ? j法，蒙特卡羅方法，與地下水資源變值系統理論相結合，探討了地下水動態資料分析和地下水資源預測預報的新思路；綜合分析了現今各類地下水管理模型的特點及缺陷，將數學規劃、數理統計、隨機過程等與地下水變值系統理論相結合進行地表水地下水或多水源的聯合優化調度，使模型更準確、更實用；對保證地下水資源可持續開發的內部條件和外部條件進行了分析，內部河海人學博卜學位論文前言、摘要、目錄條件主要是正確的資源觀，科學的資源計算與評價方法，可靠的資源預測預報技術，可操作的資源管理措施，外部條件主要是高層發展思路、管理體制的變革、配套的政策法規、經濟杠桿的調節、人文素質的提高、節水意識的增強及具體節水措施、人口增長的控制、水體污染的防治、生態的恢復和重建等;從宇宙科學、地球系統科學及哲學的高度審視地下水資源的可持續開發;指出了地下水資源可持續開發的進一步研究方向。
  2. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  3. In, it is discussed how to estimate the profit expection and risk of portfolio by time series, and that the portfolio investment model can be made by the variance of portfolio selection random profit

    在1中，我們首先介紹了如何利用時間序列預測法估計證券的預期收益率和風險，然後以投資組合隨機收益率的方差作為投資的風險度量，建立起投資組合模型。
  4. The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer. but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule

    Kanerva的稀疏分佈存儲（ sdm ）模型解決了大維數樣本的訓練問題，推廣了現有計算機的存儲方式。但其地址矩陣的隨機預置方式不能反映樣本的分佈，並且sdm的學習方式使之不能用於函數逼近及時間序列預測問題。
  5. In fact, hydrology system is dominated by the objective factors, such as weather, geography and human activities, with combination of determinacy and randomness. the chaotic analysis method combines determinacy and randomness, which seems more adaptive to describe hydrologic time series than conventional hydrologic methods, and becomes more and more attractive recently

    本文打破以往傳統分析中單一的確定性分析或隨機性分析，在水文日流量時間序列中，引入將兩者統一起來的混沌性，系統地研究了水文流量的混沌非線性時間序列法。
  6. ( 2 ) the method of time series analysis and the stochastic models are introduced, and the yearly and monthly runoff series stochastic models at the heiyukou gauging station in heihe river are established and checked

    （ 2 ）對水文系列的時間序列分析方法及常用的隨機模型進行了闡述，建立了黑河黑峪口站的年、月徑流序列生成模型並進行了檢驗。
  7. In this paper, we first analyze the input and output as well as cost - benefit rate of chinese livestock industry by the example of hog, beef, mutton and dairy cow. then, we choose the samples from different regions in different time, use the stochastic production frontier suggested by battese and coelli ( 1992 ), which is aimed at the panel data ( balanced or unbalanced ), and make the econometric analysis for the growth of hog, beef, mutton, and dairy cow. different from the former research for livestock industry, the efficiency measurement theory is introdiced into the growth model and the tfp is dissolved into technical advancement, technological efficiency and residual, the translog production function is used to make the estimation more precised

    本文首先以生豬，肉牛、肉羊和奶牛為例對近年來我國畜牧業的投入產出和成本收益狀況進行了分析，然後採用battese和coelli在1992年提出的針對混合數據（ paneldata ）的隨機邊界生產函數形式，在不同地區選取一定的樣本，利用樣本省的時間序列與截面混合數據，對生豬，肉牛，肉羊和奶牛的增長因素進行了分析，與以往對于畜牧業增長研究不同的是，將效率測算理論引入生產增長模型，把全要素生產率分解為技術進步、技術效率和殘差項，並採取了更加符合實際的超越對數函數形式，使傳統上使用的索洛余值法得到改進，更深層次的剖析了我國畜牧業目前的增長方式。
  8. Abstract : in this paper we analyse some predictation approaches of random time series and by using arma model we predict effectually the weighted aggregative indexes of securities market in shanghai and shenzhen

    文摘:分析了隨機時間序列的統計預測方法，並利用arma模型對深滬市未來短期指數進行了有效預報。
  9. Testing for a unit root in time series with tarch - skew - t errors

    混凝土碳化深度隨機時間序列預報模型
  10. The researches of stock price forecasting which obey stochastic time series models

    遵循隨機時間序列模型的股價預報研究
  11. According to the data of the covariance - stationary stochastic time series, we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection. this algorithm will be faster and more stable

    在已知平穩隨機時間序列樣本數據的情況下，論述了如何採用正交投影演算法和正交奇異值演算法建立隨機時間序列的狀態空間模型和狀態矢量估計，這種數學建模方法對于船舶機艙中的系統數學建模有很大的幫助
  12. Firstly, the forecast problem based on vendor managed inventory ( vmi, for short ) model is talked about. according to inventory demand changing with season and some random factors existing in actual problem, a new algorithm composed of a random time series forecast method and gm ( 1, 1 ) is put forward, and a mathematic model is constructed to analyze history data. as a result, the precision of the requirement forecast is increased greatly

    本文首先研究了供應商管理庫存（ vendormanagedinventory ，簡稱vmi ）模式下分散式庫存需求的預測方法，根據庫存需求數據具有季節性變化的特點，並考慮到這一變化的不確定性，採用基於隨機時間序列和灰度預測的組合預測演算法對問題進行建模，並在此基礎上進行分析預測，從而使數據擬合有很大程度的提高。
  13. 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
  14. 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。
  15. A time series data set is a sequence of random variables indexed by time

    時間序列數據是以時間為指標的一個隨機變量序列。
  16. The time - space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared

    對比研究了時間序列、空間序列、分形的分析體系，提出了在連續性基礎上包容隨機性的時空序列分析方法。
  17. 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。
  18. The traditional methods of times series can not be used for the unit root process. but economic phenomenon has long term equilibria relationship between each other, so we can seek cointegration for the multi - unit root process. if they have cointegration relationship, there must be long term equilibrium among them while other factors act as short - term impact

    對于具有單位根過程的經濟指標數據，傳統的時間序列方法不能使用，但是經濟現象往往又表現出它們之間具有的長期均衡關系，因此，對于多個單位根過程，可以尋求它們之間的協整關系，如果經濟指標之間具有協整關系，則它們之間就具有長期均衡關系，而其它因素的作用只是短期隨機沖擊而已。
  19. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  20. Secondly, we performed the time series analysis for the random walk model on the fitness landscape to discover more information about the fitness landscape, and demonstrated the modeling process based on the nk - landscapes

    對適應值曲面上的隨機遊走模型進行了時間序列分析，以獲得關于適應值曲面的更多的信息，並基於nk -適應值曲面進行了實證研究。
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