Law of Great Numbers and Central Limit Theorem of Series of Correlated Random Variables;
相关随机序列的大数定律和中心极限定理
Note on the almost sure central limit theorem for ρ~--mixing sequences.;
ρ~--混合序列几乎处处中心极限定理的注记
The present paper firstly represents the model about random walks in time-random environments on the right line, then the studies about recurrence-transience criteria and limit theorem by using some relative theories of Markov chains, and finally a center limit theorem of this random walks in the non-recurrence case.
给出了半直线上时间随机环境下随机游动的模型,并利用马氏链理论研究了该随机游动的常返暂留准则和依概率收敛的大数定律,得到在非常返情形下的中心极限定理。
In this article,a Pólya Urn Model is discussed,We obtain a strong law of large numbers and a center limit theorem.
研究了一个Plóya罐子模型,得到了该模型的一个强大数定律和中心极限定理。
Then we further study the limit properties and derive a strong law of large numbers and a center limit theorem of this random walks in i.
本文对右半直线上在0点带有反射壁的随机环境中随机游动进行了研究,得到了在环境是平稳遍历条件下的常返准则及在环境是独立同分布条件下的一个强大数定律和中心极限定理。
The method is mainly based on the central limit theory, and can avoid the state explosion problem.
提出了一种基于中心极限定理的 ,并能避免其他分析方法中遇到的状态空间剧增的分析ATM复用器缓存队长发布的方法 。
In this paper, we will use the theory of stochastic systems fluctuations, random walk, central limit theory to discuss the weak convergence properties of the two random paths and study the weak convergence limit of the model .
本文应用随机系统波动的相关理论、随机游动以及中心极限定理等,考虑双随机分离线模型波动的弱收敛性质,研究模型的弱收敛极限。
Note on the almost sure central limit theorem for ρ~--mixing sequences.;
ρ~--混合序列几乎处处中心极限定理的注记
The almost sure central limit theorem for the maximum and minimum of stationary Gaussian sequences of d-mensional random vectors was considered as max1≤p≠q≤d supn≥0 |rn(p,q)|<1 and ρnlog n(log log n)1+ε=O(1).
max sup1≤p≠q≤dn≥0|rn(p,q)|<1且ρnlogn(log logn)1+ε=O(1)条件下,证明了d维标准化平稳高斯向量序列的最大值与最小值联合的几乎处处中心极限定理。
Under the con- ditions of D′(u_n)and D_2({u_k,u_n}),an almost sure central limit theorem for the maximum of weakly de- pendent sequences is obtained.
设{ξ_i}_(i=1)~∞为弱相依平稳随机变量序列,{u_n}为给定的实数序列,在条件D′(u_n)和D_2({u_k,u_n})之下,研究了弱相依序列最大值的几乎处处中心极限定理。
In order to improve the invisibility and the robustness of semi-fragile watermark,this paper brings up characteristic and representation in DWT transform domain based on visual features model,and puts forward the quantized central limit theorem which applies to adjust the coefficients in general transform domain.
为准确识别数字媒体的版权,更好地提高半脆弱水印的透明性和鲁棒性,提出离散小波变换域中基于人眼视觉特性模型的特征参数及其表示方法,给出适用于一般变换域参数调整的量化中心极限定理,使得在动态量化过程中嵌入的半脆弱水印能够达到最大的鲁棒性。
Using Law of Large Number and Central Limit Theorem to Work out Limit;
利用大数定律和中心极限定理求解极限
The application of great nember law and the centre limit theorem;
大数定律与中心极限定理的实际应用
Almost Sure Central Limit Theorem for the Product of Partial Sums
部分和乘积的几乎处处中心极限定理
Almost Sure Central Limit Theroem in Separable Metric Space
距离空间上的几乎处处中心极限定理
Local and Global Almost Sure Central Limit Theorems on Extremes;
极值的局部及整体几乎处处中心极限定理
Almost Sure Central Limit Theorems of Extremes from Incomplete Samples
缺失样本极值的几乎处处中心极限定理
The Central Limit Theorem for Function of Markov Chains in Markovian Environments
马氏环境中马氏链泛函的中心极限定理
Almost Surely Central Limit Theorem on the Maximum of Gaussian Vector Sequence;
高斯向量序列的几乎处处中心极限定理
Central Limit Theorem for the Sum of Partial Sum of Nonstationary NA Sequence;
非平稳NA序列部分和之和的中心极限定理
Calculation Model of Spare Parts Demand Based on Lindeberg-Levy Limited Theorem;
基于中心极限定理的备件需求量计算模型
An Almost Sure Central Limit Theorem for Weighted Sums under Association
相依序列加权和的几乎处处中心极限定理
Almost Sure Convergence for Sample Range and Joint Asymptotic Distributions of Exceedances Point Process and Partial Sum;
极差的几乎处处中心极限定理及高斯序列点过程与部分和的联合极限分布
Almost Sure Central Limit Theorem for the Maximum and the Limiting Distribution of Extremes with Random Index;
最大值的几乎处处中心极限定理及具有随机足标的极值的极限分布
The Important Application of the Great Number Law and the Central Limit Theorem in Insurance;
大数定律和中心极限定理在保险业中的重要应用
The Law of Large Number and Central Limit Theorem of Independent Random Sequence and Their Applications;
论独立随机序列的大数定律与中心极限定理及其应用
Noncompatible estimation of the residuai sum of sguares of central limit theorem in linear model
关于线性模型中误差方差估计中心极限定理余项的非一致性估计
Almost Sure Central Limit Theorem of Partial Sum and Maximum, and Pickands-type Estimator of Moving Average Time Series;
部分和与最大值的几乎处处中心极限定理及移动平均的Pickands估计量
Clt of Linear Spectral Statistics for Large Dimensional Sample Covariance Matrices
大维样本协方差矩阵的线性谱统计量的中心极限定理