The r order mean consistency, the complete convergence and strong consistency of the weighted kemel estimator for regression function, under martingale difference error sequences from censored data are studied.
研究了在删失样本下误差为鞅差序列时 ,回归函数加权核估计的r阶矩收敛性 ,完全收敛性和几乎处处收敛性 ,推广了在完全样本下误差为鞅差序列时相应的结论 ,同时还给出了r(r >1)阶矩收敛的收敛速
This paper presents some almost sure convergence properties and a strong law of large numbers for the partial sum of associated random variable sequences based on the Hajek-Renyi inequality for associated random variables and the Chung-Erdos inequality for event sequences using the Kronecker lemma and the Borel-Cantelli lemma,which generalize and improve the result in related literature.
文章基于相协随机变量序列的Hajek-Renyi不等式和事件序列的Chung-Erdos不等式,利用Krone-cker引理和Borel-Cantelli引理,给出相协随机变量序列部分和的几乎处处收敛性和强大数定律型的结果,推广和改进了吴爱娟论文中定理2和定理3的结果。
In the paper,we prove an almost sure convergence for the maximum of stationary Gaussion vector sequencs under the conditons rn(p)log n(log log n)1+ε=O(1),rn(p,q)log n(log log n)1+ε=O(1),1≤p≠q≤d.
在rn(p)logn(log logn)1+ε=O(1),rn(p,q)logn(log logn)1+ε=O(1),1≤p≠q≤d的条件下,证明了平稳高斯向量序列最大值的几乎处处收敛。
Complete convergence and Marcinkiewicz’s strong law and almost sure convergence for -mixing random sequences with different distributions are discussed.
讨论了不同分布的混合序列的完全收敛性、Marcinkiewicz强大数律及几乎处处收敛性,并获得了不同分布混合序列满足完全收敛性的一个充分性结果。
This paper gaves its equivalent propositions and proves that a.
由随机变量序列几乎处处收敛可推出其依概率收敛,进而可推出其依分布收敛,可见判别几乎处处收敛的重要性。
Let B be a separable Banach space, in this thesis, Construct an a.
设B是可分Banach空间,利用截尾方法构造几乎处处收敛的鞅,将鞅方法与分析方法相结合, 研究了B值适应可积随机元序列的局部收敛性及其强大数定理。
We proved the existence of the optimal control in the sense of the long run average of the output tracking errors and a.
在给定条件下,证明了最优控制序列存在,给出了基于扩展截断Kieferwolfowitz(KW)算法的迭代学习控制,证明了迭代序列几乎处处收敛,并使跟踪误差的平方均值最小。
The paper discusses the relations between complete convergence and almost uniform convergence,almost everywhere convergence,convergence in measure of fathomable functional sequence,and presents two common properties and one decision theorem.
讨论了可测函数序列完全收敛与几乎一致收敛、几乎处处收敛、依测度收敛之间的关系,并给出了它的两个常用性质和一个判定定理。
We introduce the concepts of the convergence in fuzzy measures and the almost everywhere convergence for the sequence of measurable fuzzy valued functions in the general fuzzy measure space in this paper.
在一般模糊测度空间上,针对可测模糊值函数序列给出了依模糊测度收敛和几乎处处收敛的概念,并在此基础上,进一步研究了模糊值函数序列的这两种收敛的蕴涵关系,从而获得了所谓模糊化的Riesz定理和Lebesgue定理。
Strong law of large numbers for mixing random sequences
混合序列的完全收敛性和部分和的几乎处处收敛性
Proof of Levi Theorem on Almost Everywhere Convergence;
几乎处处收敛时Levi定理的证明
Almost Sure Convergence on Density Function
密度函数上的几乎处处收敛(英文)
Monotone Convergence Theorems for the Integration of Function Sequence with Respect to Almost Everywhere Weak Convergence Probability Measure Sequence
函数序列关于几乎处处弱收敛概率测度序列积分的单调收敛定理
Almost Sure Convergence for Random Sequence under Moment Conditions;
矩限制下随机序列的几乎必然收敛性
Convergence Rate of Conditional Moments, Large Quantile Estimation and Almost Sure Central Limit Theorem on Maxima and Minima;
条件矩收敛速度，大分位数之区间估计及最大值与最小值的几乎处处中心极限定理
Some Ultra-convergent Derivative Recovery Schemes for Piecewise Linear Interpolation;
分片线性插值的几种强超收敛的导数后处理格式
The Almost Sure Convergence of NA Sequence and (?)-mixing Sequence;
一类NA序列、（？）混合序列的几乎必然收敛性
Statistical Convergence of the Random Variables and Using Statistical Convergence to Deal with Data;
随机变量的统计收敛性及统计收敛在数据处理方面的应用
Convergence and Convergence Rate of the Partial Sums of Wavelet Expansions at Lebesgue Point
小波级数的部分和在勒贝格点处的收敛性与收敛速度
On Superconvergence Properties and Postprocess of Finite Element Approximation of Non-smooth Solutions in One Dimensional;
一维非光滑解有限元逼近的超收敛性及后处理
Convergence of a Batch Method for Gray Neural Network GNNM(1, 1)
灰色神经网络GNNM（1，1）批处理算法的收敛性
Convergence of Batch Gradient Descent Algorithm for High Order Double Parallel Neural Networks
高阶双并联神经网络批处理梯度算法收敛性
Convergence Characteristics of Preconditioned Euler Equations at Low Mach Numbers
低马赫数流动中的预处理Euler方程的收敛特性
The Relationship between Complete Convergence and Some Convergence of Measurable Function;
完全收敛性与可测函数序列几种收敛性的关系
The Postprocessing, Maximum Norm Estimates and Superconvergence for Finite Element Methods to Nonlinear Equations or Sobolev Type;
Sobolev型方程有限元方法的后处理最大模估计及超收敛性
Several Basic Results of Almost Surely Bounded Linear Operators in Complete RN Spaces;
完备RN-空间中几乎处处有界线性算子的几个基本结果
The joining is hardly visible.
接合处几乎天衣无缝。