A class of convergence theorems for arbitrary stochastic sequence on gambling system 任意随机适应序列关于广义随机选择系统的一类极限定理
The paper studied the convergence problems on partial sums of adapted stochastic sequence with submartingale convergence theorem, stopping time and conditional three series theorem. 利用下鞅收敛定理、停时和条件三级数定理研究适应随机变量序列部分和的收敛问题。
The Convergence Problems on Partial Sums of Adapted Stochastic Sequence 关于适应随机变量序列部分和的收敛问题
Research on Dynamic Reliability Modeling and Simulation Based on Stochastic Failure Sequence Analysis 基于随机故障序列分析的动态可靠性建模与仿真研究
System Reliability Modeling and Analysis Based on Stochastic Failure Sequence 基于随机故障序列的系统可靠性建模与分析
A Class of Random Approximation Theorems for Random Sums of Arbitrary Stochastic Sequence on Two-Order Nonhomogeneous Markov Chains on Random Selection System 任意随机序列关于二重非齐次马氏链的随机和的一类随机选择系统的随机逼近定理
Random sequence Random limit logarithmic likelihood ratio Random approximation theorem Random selection Two-order Markov distribution Stochastic dominated sequence. 随机序列随机极限对数似然比随机逼近定理随机选择二重马氏分布机控制序列。
A Strong Limit Theorem for Arbitrary Stochastic Sequence 任意随机变量序列的一个强极限定理
As corollaries, the classical strong laws of large number for stochastic sequence and the strong laws of large number for arbitrary stochastic sequence are obtained. 作为推论,得到随机变量序列已有的经典强大数定律以及对任意随机变量序列普遍成立的强大数定律。
A Result about Weak Convergence of Partial Sum of Stochastic Process Sequence 随机过程序列部分和弱收敛的一点结果
A class of strong laws of large number for arbitrary Cantor-like stochastic sequence are investigated. 研究了对任意Cantor型随机变量序列普遍成立的一类强大数定理。
Compared with other quantification algorithms, the proposed algorithm enhances the anti reverse iteration reconstruction ability, extends the period and improves the performance of the generated stochastic sequence under precision restricted condition. 同其他算法相比,该算法在有限精度条件下增强了混沌序列的抗逆向迭代能力,扩展了序列的周期,提高了长序列的自相关与互相关性能。
Research on Strong Limit Theorem for Cantor-like Stochastic Sequence Cantor型随机变量序列强极限定理的研究
Inequalities of moment and convergence theorem of order statistics of partial sums for a class of strongly positive dependent stochastic sequence 一类强正相依随机变量列部分和次序统计量的矩不等式与收敛定理
In this paper, we consider a discrete insurance risk model, where the arrivals of claim follow stochastic Poisson sequence and stochastic binomial sequence respectively. 本文研究了一类离散双险种风险模型,其中一类险种的索赔到达为泊松随机序列,另一类险种的索赔到达为二项随机序列。
This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal. 本文证明了时间域内的平稳相关序列经离散傅里叶变换之后,听得到的是频域内的正交随机序列。
On-line identification and self-tuning prediction of the ARMA under the influence of stochastic distribution sequence with time varying mean and time varying variance have been studied. 本文介绍了在具有时变均值和时变方差的随机干扰序列作用下,ARMA模型的在线辨识与自校正预报。
A Convergence of the Section Sum in Stochastic Sequence Under Finite State 有限状态随机序列部分和的一个收敛性质
Fast Pseudo Stochastic Sequence Generator Based on Chebyshev Map 基于Chebyshev映射的快速伪随机序列发生器
An improved middle multi-bits quantification algorithm based on Chebyshev map is proposed for generating high quantity stochastic sequence. 为克服多比特量化算法抗逆向迭代弱的缺点,提出了一种基于Chebyshev映射的中间多比特伪随机序列量化算法。
The Binary-phase Coded Signal ( BPCS) is a kind of common radar pulse compression signal, whose phase-coding is binary pseudo stochastic sequence with nicer autocorrelation features. 二相编码信号是一种常用的雷达脉冲压缩信号,其相位编码是具有良好的自相关特性的二元伪随机序列。
Here, general limiting behaviours are discussed when stochastic sequence has no convergence, some classical results are also improved. 本文讨论了随机序列不具有收敛性时的一般极限行为,一些经典的结果被改进。
The Generator of a Type of Deep Stochastic Sequence 一类高度随机序列的产生
In this algorithm secret messages are transformed into stochastic DNA sequences by beforehand managing, coding and modulating, and then the locations of secret messages embedded in the high complexity regions are decided by a stochastic sequence. 该算法首先将秘密信息经预处理、编码、调制变成一维随机DNA序列;然后由一个随机数序列决定隐藏信息在载体的高复杂性区域的位置;
Then in the process of compensation we use stochastic binomial sequence to make the risk model valuable. 其次,在实际索赔过程中,为了使模型变得更有应用价值,本文又考虑了随机二项序列对模型的影响;
The Strong Invariance Principle of the Partial Sums of a Stochastic Process Sequence 随机过程序列部分和的强不变原理
This has been proved to be right If the reflection coefficients were a stochastic sequence with white power spectrum. 这种作法在反射系数为具有白功率谱的随机序列时是正确的。
And then, a GM ( 1,1) was established. The limitation of simulating a stochastic and oscillating sequence through GM ( 1,1) under the condition of the satisfaction of quasi-smoothness of original sequence and the satisfaction of quasi-exponential law of 1-Accumulating Generation Operator was talked over. 然后建立了GM(1,1)模型,讨论了在原始序列准光滑条件满足、1-AGO准指数规律满足条件下GM(1,1)模型模拟随机振荡序列的局限;
A Class of Strong Limit Theorems for Stochastic Sequence on Product distribution in Gambling System 博弈系统中任意随机变量序列关于乘积分布的一类强极限定理
Analysis on Upper Stability of Stochastic Sequence 随机序列的上稳定性分析