極值分佈 的英文怎麼說
中文拼音 [jízhífēnbù]
極值分佈
英文
extremal distrbution-
One is the evt - based var model ( including gev model and gpd model ), the other is the quantile regression var model. secondly, i evaluate predictive performance of a selection of var models for chinese stock market data. these var models include riskmetrics method, historical simulation, monte carlo method, and the three recent models based on quantile regression and extreme value theory
本文首先重點探討了極值分佈var模型(包括廣義極值分佈和廣義帕雷托分佈兩個模型)和分位數回歸var模型;然後在此基礎上將六個var模型(包括上述三種模型、歷史模擬法、 riskmetrics方法以及蒙特卡洛法)實證應用於估計上證指數、上證180 、深證成指、深證綜指95 var和99 var ;同時採用區間預測法、損失函數法和符號檢驗法對這些var模型進行了選擇評估。Value, and the current density and intensity versus the substorm phases. moreover, the characteristics of substorm current wedge are given special attention. it is found that the density and intensity of facs reach their peak during the expansion phase, the onset of the expansion phase is triggered when imf is changed to southward from northward or the southward imf decreases, and the positions of onset are most likely to be at the edge of plasma sheet near the earth
值分佈以及場向電流強度和密度隨亞暴位相的變化,並著重分析了亞暴電流楔的特徵。結果表明,亞暴膨脹相的場向電流強度和密度都達到極大值亞暴的膨脹相是由行星際磁場轉向或南向分量變小觸發的,其起始位置很可能位於近地等離子體片內邊緣。The limiting distributions of exceedances on sequences, of upcrossings of high levels related to pro - cesses, and the joint limitiing distribution of sum and maximum for gaussian process had been considered in this paper respectively
本文分三部分,分別對高斯序列超過數點過程、高斯過程上穿過點過程的極限分佈及高斯過程部分和與最大值的聯合極限分佈進行了探討。Applied the maximum entropy calculation method to fit the distribution of extremes for dynamic response processes, a quasi - static analysis method on dynamic reliability of cwr stability is established
基於反應過程極值分佈最大熵擬合法,提出了無縫線路概率穩定性動力可靠度的擬靜力分析方法。The algorithm, basing on convolution filtering technique and the fringes " gray values max - min distribution, can automatically and accurately carry out space frequency spectra shifting without spectra analysis and spectrogram in the technique of phase method of projected grating for 3 - d object shapes measurement. the new algorithm makes image processing much caster and the technique of object shapes measurement more automated. the phase error caused by filtering and the crossed - optical - axes geometry setup is also discussed
本文採用投影光棚相位法和數字卷積濾波技術:根據柵線的條紋灰度值分佈具有極大極小分佈的特性,提出卷積濾波形貌光學自動檢測的圖像處理方法,有效地實現了頻譜自動移位,從而進一步提高了圖像處理的速度和形貌測量技術的自動化程度;同時對採用兩光學主軸相交,且非遠心投影系統所產生的誤差進行了分析,並提出了修正方法。Similar to the famous von - mise condition on the extreme value theory of 1 - max style, the judge condition that absolutely continuous distribution function is in the domain of attraction of p - max style distribution function is given. at the same time, the error inequality between samples and true values is obtained, and almost sure convergence theorems on the extreme value theory of p - max style are also given
類似於l - max型極值理論中著名的von - mise條件,本文給出了絕對連續分佈函數f落在p - max型極值分佈函數的吸收域中的判斷條件,給出了樣本與真值的誤差不等式,並給出了關于p - max型極值理論的幾乎處處收斂定理。The current trends of this field is to acquire the current density of dipole distribution rather than a few dipoles. based upon that, a new model was proposed - dipole layer localization method ( dllm ) : spherical dipole layer was used as source model, on which dipoles were distributed by equilateral triangles ; three concentric inhomogeneous sphere was used as head model, which contains scalp, skull and cortex with different conductance. the dipole distribution and scalp potential tomography were obtained with singular value decomposition ( svd )
鑒于該領域的研究趨勢已從求取少數偶極子過渡到偶極子分佈密度的獲得,本文提出了新的模型? ?偶極面定位方法( dipolelayerlocalizationmethod , dllm ) :以等邊三角形均勻分佈的偶極子構成的偶極面(球面)作為源模型;包括頭皮、顱骨和皮層的三層同心介質球作為頭顱模型,運用奇異值分解來求解逆問題,從而獲得偶極子分佈和頭皮電位分佈,實現三維成像。Limit distribution theorem for a sum of independent m - valued random variables
值隨機變量和的極限分佈定理A property for bivariate extreme value distribution
二元極值分佈的一個性質Weak convergence for distribution functions of induced maximum
伴隨極值分佈函數的弱收斂Function ; domain of the extreme value distribution ; von. mises condition
變化函數極值分佈吸引場von . mises條件Induced maximum ; weak convergence for distribution functions ; bivariate extremes
伴隨極值分佈函數的弱收斂二元極值Detection and handling of outlying observations in the sample of type i extreme v distribution
型極值分佈樣本異常值的判斷和處理Concomitant of order statistics ; extreme - value distribution laws ; weak convergence of distribution
伴隨次序統計量極值分佈律型分佈函數弱收斂Statistical interpretation of data - detection and handling of outlying observations in the sample of type i extreme value distribution
數據的統計處理和解釋i型極值分佈樣本異常值的判斷和處理Functions basic properties, expression theorem and equivalent conditions are proved. the domains of the extreme value distributions and rates of the convergence of the von. mises condition are discussed
的基本性質及表示定理和等價條件,利用所得結果討論了極值分佈的吸引場及von mises條件的收斂速度問題。Furthermore, the equivalent judge condition between almost sure convergence and convergence in distribution of the extreme value distribution of 1 - max style is, in this thesis, given in the case of independedt nonidentical distribution
此外,本文還給出了獨立不同分佈情況下l - max型極值分佈幾乎處處收斂和依分佈收斂等價的判斷條件。Basic index and reliability principle of steel structure, and geometric significance are analyzed. the main computation methods, such as two order moment method, separation function and separation item coefficient, linear separation, and central point, check point, monte - carlo are presented. reliability analysis under relative variable, boundary determination ( single and double boundaries ) is analyzed
研究了鋼結構可靠度基本原理、可靠指標的幾何意義,分析了鋼結構可靠度計算的一次二階矩方法、分離函數和分項系數法、線性分離法,以及中心點法、驗算點法、蒙特卡羅( monte - carlo )法,提出了變量相關情況下的結構可靠度分析方法、可靠度界限分析方法(單側界限與雙側界限) ,基於極值分佈的可靠度分析,並對鋼結構動力可靠度分析方法進行了初步探討。So it can avoid risk of model and computer rightly the var of extreme event. this article presents the theory of extreme value and character of tail of distribution and gives the example of var with index of shanghai stock market by evt, then compares the var result of different computation methods and concludes that traditional var method is static state model and var with evt is dynamic conservative model and has the ability of forecasting risk out of sample comparing to historical simulation method
本文系統地闡述了極值理論和極值分佈特徵,以上證指數為例,將極值理論應用於風險價值的計算,並將應用結果與傳統var方法計算的結果進行了比較分析,最後得出結論:傳統的var計算模型是靜態的模型,應用極值理論計算var的模型是動態的、相對保守的模型;與歷史模擬法相比較,極值理論具有超越樣本的預測能力。In the term of extreme value theory, especially, extreme distribution - ii, the 4th chapter amends power law regulation, which makes up parametric estimating problem of extreme value method. as these results, a new method to estimate var, based on laplace & extreme value - ii distribution is put forward
論文第四章,通過研究極值ii型分佈,從順序統計量的角度出發,研究極值分佈的尾部展開的一些性質,提出了一種估計極值分佈參數的方法,完善了極值理論的參數估計問題,結合實際應用提出了laplace極值混合分佈和一種估計var的新方法。分享友人