Most of them rely on the central limit theorem, that states that the mean of N independent realizations of a random variable with mean u and variance d^2 approaches a normal distribution with mean u and variance d^2/N .

在蒙特卡羅評估框架內(nèi)大量的各種選擇性算法已經(jīng)被推出国产91免费在线播放，他們中的大部分依賴于中心極限定理强奸妹子国产系列，一個均值為U方差為D^2的隨機變量的N次獨立實現(xiàn)的平均值接近于一個均值為U方差為D^2/N的正態(tài)分布。

Law of large number and central limit theorem are demonstrated and verified from the particular point of view by programming and plotting graphs.

筆者運用數(shù)學軟件Mathematica作為工具欧欧美一级a视频，對大數(shù)定律及中心極限定理從不同角度進行演示與驗證91视频最新域名，給出形象直觀的解釋及說明。

Known by the central limit theorem, the distribution of the absurd will eventually converged on the Gaussian distribution, while the speed chosen by the decision of the tail function.

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In view of continuous function problems, it is first proved that the-ES algorithm based on uniform distribution converges in probability in a weaker condition by means of the central limit theorem. Then it is proved that the-ES algorithm which adopts the general continuous random variables as its variable operators converges in probability.

針對連續(xù)函數(shù)優(yōu)化問題工口无遮挡免费视频网站，利用中心極限定理一级毛片高清网站，在較弱的條件下，首先證明了基于均勻分布的-ES算法依概率收效50岁肥熟丰满熟妇在线播放，然后給出了采用一般連續(xù)性隨機變量作為變異算子的-ES算法依概率收效的證明在线国产一区。

In view of continuous function problems,it is first proved that the-ES algorithm based on uniform distribution converges in probability in a weaker condition by means of the central limit theorem.Then it is proved that the-ES algorithm which adopts the general continuous random variables as its variable operators converges in probability.

針對連續(xù)函數(shù)優(yōu)化問題，利用中心極限定理亚洲最大的黄色止，在較弱的條件下久久精品视频只有精品，首先證明了基于均勻分布的-ES算法依概率收斂，然后給出了采用一般連續(xù)性隨機變量作為變異算子的-ES算法依概率收斂的證明91视频在有。

Technical analysis; AR-ARCH model; covariance inequality; Strong law of large numbers; Glivenko-Cantelli Lemma ; empirical distribution function; central limit theorem; dependence coefficients

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Multivalued maximal monotone operator; Multivalued stochastic differential equation; Explicit solutions; Limit theorem; Denjoy's continuity; Non-Lipschitz coefficient; Large deviations

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Modeling experiments on real SAR images demonstrate that the heavy-tailed distributions based on the generalized central limit theorem can accurately describe the sharp-peaked and heavy-tailed statistics of high-resolution SAR images.

真實SAR圖像的建模實例表明久久久久久国产精品无码超碰2020，基于廣義中心極限定理的拖尾分布可以精確描述高分辨率SAR圖像的尖峰和厚尾的統(tǒng)計特征。

By using the generalized central limit theorem, the heavy-tailed distributions (heavy-tailed Rayleigh distribution for amplitude image and heavy-tailed exponential distribution for intensity image) are obtained from the symmetric stable distributions of real and imaginary parts of echoes. Taking the heavy-tailed Rayleigh distribution as an example, the algebraic tails of heavy-tailed distributions are explained as well as the statistics of sharp peak and heavy tail.

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Transfer operator; Young's nonuniformly hyperbolic system; rational map; central limit theorem; large deviation

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