随机的

In this paper, we study the convergences and the growth of bi-random Dirichlet series by the strong law of large numbers for independent and non-equally distributed random variables, and obtain some new result.

利用独立不同分布的随机变量序列的强大数定律研究了双随机狄里克莱级数的收敛性和增长性，得到了一些新的结果。

In this paper, we study the convergences and the growth of bi-random Dirichlet series by the strong law of large number s for independent and non-equally distributed random variables, and obtain some new result.

利用独立不同分布的随机变量序列的强大数定律研究了双随机狄里克莱级数的收敛性和增长性，得到了一些新的结果。

In chapter 3,we focus our re-search on the property of random Dirichlet series converging only in the righthalf-plane,and come to the precise result in the aspect of the Borel point'sdistribution of random Dirichlet series of infinite order.

第三章给出了只在右半平面上收敛的随机Dirichlet级数的一些性质。关于无穷级随机Dirichlet级数在虚轴上的Borel点分布情况，取得了精确的结果。

The number of packet s generated by users in a segment of time is a discrete random variable whose distribution varies with situation.

在一个时段内用户产生的信息包数是一个离散的随机变量，对于不同的情况该随机变量有不同的分布。

The number of packets generated by users in a segment of time is a discrete random variable whose distribution varies with situation.

在一个时段内用户产生的信息包数是一个离散的随机变量，对于不同的情况该随机变量有不同的分布。

Statistical methods, measures of central tendency, measurement of dispersions, probability, probability distribution of discrete and continuous random variables, parameter estimation and hypothesis testing.

研究统计方法、集中趋势的测量、可能性数据分布的测量、离散型随机变量和连续型随机变量的概率分布、参数估计以及假设检验的测量。

In this paper, we obtain a new result in view of the definition of the dependence of two dimensional discrete random variable, and give applications about it.

在二维离散型随机变量独立性定义的基础上，得到二维离散型随机变量独立的一个新的判断定理，并给出相关的应用。

The principles of suppressing random noises with K-L transformation in wavelet conversion domain are that 1 wavelet decomposition is carried out on seismic signals to form wavelet packet sections in time sharing and frequency division, 2 K-L transformation is utilized to remove noises on sections, and 3 the de-noise wavelet packet sections are reconstituted into seismic sections to remove random noises.

介绍了小波变换域K-L变换压制随机噪声的基本原理，即先将地震信号进行小波分解形成分时分频的小波包剖面，然后用K-L，变换对小波包剖面进行去噪，再将去噪后的小波包剖面重构回地震剖面，从而达到消除随机噪声的目的。

Neumann series expansion in Monte-Carlo finite element is used to find the stress of fiber winded composite structures with stochastic factor; Structure reliability formula are then given by Monte-Carlo comparison method and Tsai-Hill failure criteria.

将纽曼级数展开的蒙特卡罗随机有限元应用于具有随机因素的纤维缠绕结构的应力求解；然后利用蒙特卡罗直接比较法和蔡希尔失效判据给出该结构的可靠性算式。

Studies on statistical properties of spontaneous spike trains of single auditory nerve have shown that the distributing patterns of interval in spike trains represent Poisson distribution. Since Poisson distribution is one of the simplest stochastic processes, previous studies on spontaneous spike trains of single auditory nerve were performed primarily by assuming them as stochastic processes. Recently, further studies on nonlinear dynamic system show that we have not enough evidence to demonstrate the process, whose distribution of probability density is exponential, is Poisson process.

中文题名豚鼠听神经单纤维放电序列的非线性特性分析副题名外文题名 Analysis on nonlinear properties in spike trains of single auditory nerve fiber in guinea pig 论文作者林龙年导师孙心德教授学科专业生理学研究领域\研究方向听觉神经生物学学位级别博士学位授予单位华东师范大学学位授予日期2001 论文页码总数91页关键词听神经听觉神经生理豚鼠馆藏号BSLW /2001 /Q42 /41 对听神经单纤维自发放电序列的统计特性研究表明，听神经单纤维放电间隔呈泊松分布，而泊松过程是最简单的随机过程之一，因此以往的研究主要将听神经单纤维自发放电序列作为随机过程来处理。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。