非隨機變數 的英文怎麼說
中文拼音 [fēisuíjībiànshǔ]
非隨機變數
英文
nonrandom variable-
At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel
首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。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。Specially, based on risk - metric and factor variables, the author discusses multi - factor asset pricing model. in theoretical analysis, the author attempts to release the assumption of index ' s random walk, proves a portfolio selection model suitable for the linear index level moreover, based on assets un - exchangeable, the author brings forward asset pricing models for b - shares, h - shares and non - circulated - shares. the author also brings forward multi - factor asset pricing model based on risk - metric indices, such as coefficient of beta, standard variance, standard semi - variance, average absolute deviation, value at risk, and factor variables, such as circulated market equity, exchange ratio, short - term historical return
在理論分析時，作者嘗試放鬆指數水平滿足隨機遊走過程的假設，推導出指數水平呈線性趨勢的資產組合選擇模型；此外，作者基於資產不可交易這一假設，提出了b股、 h股和非流通股等情形的資產定價模型，並基於系數、標準差、標準半方差、平均絕對離差和風險價值等風險度量指標以及流通市值、換手率、短期歷史收益率等因素變量提出了四因素資產定價模型。The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward
主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。Abstract : it is essential to research radar clutter with non - gaussian spectrum and non - r ayleigh distribution in modern radar design. based on spherically invariant rando m process ( sirp ), this paper applies a new algorithm to model the clutter with k d istribution in amplitude and any power density spectrum. at last it is proved tha t thi s method is correct and applicable with real simulative clutter and statistical detection result
文摘:研究並模擬具有非瑞利幅度分佈和非高斯功率譜的雷達雜波是現代雷達信號處理中的一個重要的研究課題.文中基於球不變隨機過程（ sirp ）的建模方法，針對實地採集的幅度滿足k分佈並具有有理功率譜的高解析度雷達雜波，運用現代譜估計演算法對其進行建模和模擬，並以模擬雜波與實際雜波的數據對比和統計檢驗的結果對該方法進行了驗證In the second part of the thesis, the non - thermal phase transition in high energy collisions is studied in detail in the framework of random cascade model. the relation between the characteristic parameter xq of phase transition and the rank q of moment is obtained using monte carlo simulation, and the existence of two phases in self - similar cascading multiparticle systems is shown. the relation between the critical point qc of phase transition on the fluctuation parameter q is obtained and compared with the experimental results from na22
文章第二部分中，我們用隨機級聯模型對高能碰撞中的非熱相變作了仔細研究，用montecarlo模擬得到了表徵相變的特徵參數_ q與矩階數q之間的關系，證實了自相似多粒子系統中存在兩相，求出了相變點q = q _ c對起伏參數的依賴關系，並和na22實驗結果進行了比較。The main contributions of the second part of this dissertation are focused on the cryptographic properties of logical functions over finite field, with the help of the properties of trace functions, and that of p - polynomials, as well as the permutation theory over finite field : the new definition of chrestenson linear spectrum is given and the relation between the new chrestenson linear spectrum and the chrestenson cyclic spectrum is presented, followed by the inverse formula of logical function over finite field ; the distribution for linear structures of the logical functions over finite field is discussed and the complete construction of logical functions taking on all vectors as linear structures is suggested, which leads to the conception of the extended affine functions over finite field, whose cryptographic properties is similar to that of the affine functions over field gf ( 2 ) and prime field fp ; the relationship between the degeneration of logical functions and the linear structures, the degeneration of logical functions and the support of chrestenson spectrum, as well as the relation between the nonlinearity and the linear structures are discussed ; using the relation of the logical functions over finite field and the vector logical functions over its prime field, we reveal the relationship between the perfect nonlinear functions over finite field and the vector generalized bent functions over its prime field ; the existence or not of the perfect nonlinear functions with any variables over any finite fields is offered, and some methods are proposed to construct the perfect nonlinear functions by using the balanced p - polynomials over finite field
重新定義了有限域上邏輯函數的chrestenson線性譜，考察了新定義的chrestenson線性譜和原來的chrestenson循環譜的關系，並利用一組對偶基給出了有限域上邏輯函數的反演公式；給出了有限域上隨機變量聯合分佈的分解式，並利用隨機變量聯合分佈的分解式對有限域上邏輯函數的密碼性質進行了研究；給出了有限域上邏輯函數與相應素域上向量邏輯函數的關系，探討了它們之間密碼性質的聯系，如平衡性，相關免疫性，擴散性，線性結構以及非線性度等；討論了有限域上邏輯函數各類線性結構之間的關系，並給出了任意點都是線性結構的邏輯函數的全部構造，由此引出了有限域上的「泛仿射函數」的概念；考察了有限域上邏輯函數的退化性與線性結構的關系、退化性與chrestenson譜支集的關系；給出了有限域邏輯函數非線性度的定義，利用有限域上邏輯函數的非線性度與相應素域上向量邏輯函數非線性度的關系，考察了有限域上邏輯函數的非線性度與線性結構的關系；利用有限域上邏輯函數與相信息工程大學博士學位論文應素域上向量邏輯函數的關系，揭示了有限域上的廣義bent函數與相應素域上的廣義bent函數的關系，以及有限域上的完全非線性函數與相應素域上向量廣義bent函數之間的關系;給出了任意有限域上任意。Aimed at tackling the stochastic variations caused by non - artificial natural factors and accidental factors such as nonpoint source contamination and point source contamination in geochemical maps for different continental and sea media of eastern zhejiang coastal area, this paper puts forward a geochemical map formation method for different continental and sea media based on a suitable data - processing model and color area spatial distribution so as to improve the map face effects
摘要針對浙東沿海地區陸海不同介質采樣區地球化學圖中出現的自然因素，以及非點源污染和點源污染等因素引起的隨機變異，提出選擇一種適宜的數據處理模型和色區空間分配為內容的陸海不同介質地球化學成圖方法，以改善圖面效果。2. aiming at derivative security with nonlinear payment function and the “ fat tails ” in the financial data, we induce the definitions of var in chapter 5 and discuss its characters from both the cash value and the returns ratios as a random variable. moreover, we deliberate the algorithm of var in detail and the advantages & disadvantages of the various algorithms
2 .針對具有非線性支付函數的衍生產品以及金融數據明顯的「厚尾」現象，本文第五章對風險價值（ var ）分別從現金價值和收益率作為隨機變量兩方面進行歸納定義，討論了var的性質，並詳細研究了var的演算法及各種演算法的優缺點。The approximation of exponential distribution on the sequences of dependent nonnegative continuous random variable
指數分佈對任意非負連續型隨機變量的逼近In chapter l, we introduce the relative background on this paper and give some simple expressions of the work which have been studied. in chapter 2, in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied, and a class of strong limit theorems represented by inequalities are obtained. the bounds given by these theorems depend on positive constant c. in chapter 3, by means of the notion of log likelihood ratio, a kind random strong deviation theorem are obtained, and the bounds given by these theorems depend on r ( )
第一章，介紹本論文的選題背景，對已有的工作進行扼要的介紹；第二章，利用似然比的概念研究相依連續型非負隨機變量序列的極限性質，得到一類強偏差定理，其偏差界依賴于正常數c ；第三章，利用對數似然比的概念得到一類隨機偏差定理，其偏差界依賴于r （ ） ，證明中引進了尾概率和尾概率的laplace變換的概念；第四章，利用對數似然比的概念，得到了一類關于任意連續型隨機變量序列的泛函的強偏差定理。Testing for varying dispersion in exponential family nonlinear models with random coefficients
指數族廣義非線性隨機系數模型的變離差檢驗Based on the theories of nonlinear finite element monte - carlo stimulation techniques, mathematical methods for generating uniformly distributed n ( 0, 1 ) random numbers are described. a comprehensive evaluation method for uniformly distributed random number is presented. some good seeds have been selected out that can be used to generate uniformly distributed random sequences with better performance
本文以非線性有限元理論和蒙特卡洛隨機模擬理論為基礎，描述了均勻分佈的n （ 0 ， 1 ）隨機數產生的數學方法，並編制了計算機程序，對由軟體產生的均勻分佈序列的隨機數性能進行各種檢驗，檢驗成果是良好的，可用於產生各種概率分佈的隨機變量值。Nonparametric model is widely used in the practical problems, the reason is that the form of the regression function in the nonparametric model is free, and the limits to the random variate ( x, y ) are fewer. in the past several decades, this model is studied carefully by the researchers of statistics, and many achievements are arrived in both theorial fields and in applicational fields
非參數回歸模型，由於其回歸函數的形式可以任意，而且對隨機變量（ x ， y ）的分佈限制較少，因而在實際中有著廣泛的應用背景。幾十年來，統計工作者對這一模型進行了深入細致的研究。無論在理論上還是應用上，都取得了許多優秀成果。Weak law of large numbers for the random variable sequences of un - independent and un - identical distribution
非獨立不同分佈隨機變量序列的弱大數定律This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter
本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測The unit includes topics such as basic probability and random variables, data summarization and display, data quality, probability models for data including the normal, poisson, binomial and sampling distributions and their important properties
本課程課程包括基本概率和隨機變量、數據摘要和顯示、數據質量、數據概率模型（常規、非常規、二項式和樣本分類和它的重要屬性。According to the problem that the recovery rate is traditional treated as a constant or an independent stochastic variable by the classical credit risk pricing and management model, and problem that the negative correlation between the default probability and recovery rate is always neglected, this dissertation gets the exponential and logarithm regression models of default probablilty and recovery rate based on some empirical researches, and improves on several broadly applied credit risk models, such as structural hazard rate model, affine structure model, convertible bond pricing model and credit metrics model, and introduce the negative correlation between
針對傳統的信用風險定價模型及信用風險管理模型將違約回收率看成是一個外生的常數或是一個獨立的隨機變量，而忽略回收率和違約概率之間的負相關性這一問題，本文應用相關實證研究得到了違約概率和回收率的指數和對數回歸模型，並對應用非常廣泛的結構化風險率模型、仿射結構模型、可轉換債券定價模型和creditmetrics模型進行了改進和拓展，在新模型中應用指數和對數函數引入了這兩個變量之間的負相關性。Under the frame of natural gradient algorithm, an ica algorithm based on adaptive kernel estimation is proposed, which can separate arbitrary mixed signals ( such as super - gaussian and sub - gaussian, symmetric and asymmetric signals )
摘要在自然梯度演算法的框架下，本文利用隨機變量概率密度函數非參數估計的自適應核函數法，給出了一種能夠對任意混合信號（超高斯和亞高斯信號，對稱和非對稱分佈信號）進行盲分離的演算法。Based on the mechanism of shear - slipping dam collapse, the state function of high arch dam shear - slipping failure mode is established, and the function involves four non - fully - independent random variables, namely, compressive stress, shearing stress, coefficient of friction and coefficient of cohesion, and is of nonlinear characteristics
根據剪滑潰壩機理建立了高拱壩剪滑失效模式的狀態函數，該狀態函數包含壓應力、切應力、摩擦系數以及粘結力系數等4個非完全獨立的隨機變量，且具有非線性特徵。分享友人