随机

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。

This term studies mainly the applications of Theory of covering surface in differential equations, potential theory, complex dynamics and several complex variables, and researches the analysis and geometry properties of random Taylor series and random Dirichlet series.

本项目主要研究覆盖曲面理论及其在微分方程、位势理论、复解析动力系统以及多复变函数中的应用；研究随机泰勒级数、随机狄里克莱级数的分析性质和几何性质。

For certain random Dirichlet series in the right half plane, we prove that almost surely every point on the imaginary axis is Borel point with no exceptional small functions.

研究了涉及小函数的随机Dirichlet级数，证明了对于右半平面上的随机Dirichlet级数，它几乎必然以虚轴上每一点为其没有例外小函数的Borel点； 3。

On the filling discs and Borel directions of quasimeromorphic mapping of zero order ;2. The growth of zero order random Dirichlet series in the plane was studied.

研究了当随机变量列{Xn}满足一定条件时，平面上零级随机Dirichlet级数的增长性，得到了关于它们增长性的一些结果。

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。

Classical time-series method is characterized by discrete time stochastic process.

而传统的时间序列方法是用随机过程来描述的，它被看作是离散时间的随机过程。

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。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。