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Poisson process相关的网络例句

查询词典 Poisson process

与 Poisson process 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper, a self-adaptive algorithm is presented based on Poisson process analysis, which can adjust the revisiting pattern and revisiting frequency according to the estimated change frequency. This algorithm can also tune the parameters so that the estimated value will fall into the best applicable range of the estimator.

在此,基于泊松过程进行分析,对估测器的适用范围进行了讨论,根据估测结果的偏离值和有效性对估测公式进行参数调整,同时根据估测值的大小不断调整数据源的访问频率和次数,从而使数据源访问模式和估测器互相适应,使估测器在最佳估测范围内获得估测值。

Applying queuing theory to inventory control,it established an optimal inventory model of a production system with Poisson process about rate of demand and service times,and obtained the optimal inventory capacity for the production system.

将排队论方法用于存贮问题中,建立了需求的到达与产品的生产均服从Poisson过程的生产系统的最优存贮模型,求得了最优库存容量。

The factors of calculating accuracy are analyzed. Finally, the common process and conclusions of exponential type error estimate on RBF collocation method are given. The error estimates of nonlinear Poisson equation and plane piezoelectric structure are obtained using RMQ basis function.

最后,给出径向基函数指数型收敛误差估计的一般过程和结论,并将RMQ基函数应用到非线性Poisson方程和平面压电结构的误差分析,它们分别具有O λc /h(来源:b8ABC论文网www.abclunwen.com和O的误差估计。

Generalized Linear Models are an extension of the linear modeling process that allows models to be fit to data that follow probability distributions other than the Normal distribution, such as the Poisson, Binomial, Multinomial, and etc.. Generalized Linear Models also relax the requirement of equality or constancy of variances that is required for hypothesis tests in traditional linear models. Hypothesis tests applied to the Generalized Linear Model do not require normality of the response variable, nor do they require homogeneity of variances.

广义线性模型是线性模型的扩展,对数据的要求不必局限于服从正态分布,同时放松了对"方差一致性"的要求,这在传统的一般线性模型假设检验中是必不可少的,而在广义线性模型假设检验中,响应变量也可以服从其它分布(如:泊松分布,二项分布及多项分布等)。

We use the transitional probability of two states nonhomogeneous continuous time Markov chain to build the novel transitional model. When we extend the simple model to more complicated ones such as nonhomogeneous Poisson process, we can extend the homogeneous continuous time Markov chain to nonhomogeneous one at the same time.

我们用二状态非齐性连续时间马可夫鍊的转移机率来建构新的递移模型,当将简单的模型扩展到复杂的模型,例如N服从非齐性不瓦松过程,同时,可以从齐一性连续时间马可夫鍊延伸到非齐性连续时间马可夫鍊。

This model is a homogeneous Poisson process whose parameter space is the instruction streams executed by CPU.

给出的软件错误模型是一个以CPU执行的指令流r为参数的计数统计过程。

Based on the foregoing Poisson-Pareto process, we extend our research from single multiplexer to network switch.

第五章是在第四章提出了Poisson-Pareto过程的基础上,将我们的分析从单个的复用器扩展到了网络交换机上。

Chapter 2 studies a nonhomogeneous Poisson process.

第二章研究了非时齐Poisson过程模型。

The number of stars appearing in the field of view can be regard as a statistic process obeying Poisson distribution.

本文把出现在视场内的恒星数量看成是一个服从泊松分布的随机过程。

Poisson distribution is introduced to describe the calling process and develop the collision model.

引入了泊松流以描述系统中的多主呼叫过程,建立了基于RS232C串行通讯协议的并发帧碰撞模型。

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