查询词典 Poisson distribution

Conventionally, a negative dependence structure is not allowed in bivariate poisson models, and it restricts the univariate marginal distributions has to be the same family as the bivariate joint distribution, On the contrary, copulas allow negative dependence structure and marginal distributions and bivariate distributions of different families .

相较之下Copula允许有负相关，且Copula是一个能将双变量的联合分配函数与各自的边际分配连接在一起的函数。

Meanwhile, it could be seen that there does not exist a confidence interval with width less than 0.5 because of the property of Poisson distribution. Based on these conditions, the author mainly carried out research into two aspects of this problem as follows. Firstly, by numerical and theoretical analysis, the author compares some existent confidence intervals, for example,"exact" confidence interval, Wald confidence interval and Bayesian confidence interval, and finds some deficiencies points of the confidence intervals, whose modification version has been proposed .Also, several better confidence intervals such asare also presented .Secondly, for given confidence coefficient and interval width, the author constructs a class of asymptotical two-stage interval estimate procedures. At the same time, under varies restriction of confidence coefflcientent interval width, the optional sample size of the first stage has been computed by numerical computation. The numerical computation shows that the method considered in this dissertation have good properties and applied value.

同时，由于Poisson分布的特性，我们知道不存在其参数区间长度小于0.5的置信区间，基于这些情况，我们主要展开了以下两个方面的研究：一是利用数值计算分析与理论分析的方法对现有的若干置信区间如"精确"置信区间，Wald置信区间，Bayes置信区间等进行分析比较，发现了一些缺陷，针对这些缺陷，我们进行适当的修正，并得到几种性质较好的置信区间如：修正大样本区间Jeffreys原则下置信区间二是针对已给定的置信系数与区间长度，我们提出了一种渐近的两阶段区间估计程序，并利用数值计算的方法，在各种置信系数与区间长度限定下，算出了最优的第一阶段观测次数，大量数据表明，本文考虑的方法性态良好，具有应用价值。

Next, it has a form of compound Poisson distribution when claim amount is Logrithmic.

负二项分布之所以在风险管理中被广泛应用是由其优良特性所决定的。

First, time series of spontaneous spike trains of auditory nerve, which represent Poisson distribution in time field, are pure stochastic process, or process which have inherent temporal regularity, that is, inherent deterministic mechanism?Second, if the process have inherent deterministic mechanism, how to depict it?

我们关心的问题是：一、在时间轴上放电间隔分布呈泊松分布的听神经自发放电时间序列，是一单纯的随机过程，还是具有某种内在的时序规律性，或称之为内在确定性？

This dissertation investigates the interval estimate for the parameter in Poisson distribution, which is a basic, but important problem in mathematical statistics.

本文研究了数理统计中一个最基本最重要的问题，Poisson分布中的参数区间估计问题。

Consequently the stochastic simulation method of compound extreme value distribution is brought forward. The present study shows that the simulation method is reliable and can give accurate solution. As an example, Poisson-Nested Logistic model is applied to the design of sea wall.

根据复合极值分布的特点，针对复杂失效域下多维联合概率难以解析求解的困难，本文提出了多维复合极值分布的随机模拟方法，并验证了该方法的准确性，扩大了多维复合极值分布的应用范围。

It contains Euler equations for conservation of mass, momentum and energy, and Poisson equation through which the gravitational potential is determined by the density distribution of the gas itself.

它包括由质量守恒方程、动量守恒方程和能量守恒方程构成的Euler方程组以及由星体本身的密度分布决定的自引力势能所满足的Poisson方程。

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）。

Parametric estimation of mixed poisson-gaussian distribution model.

混合泊松高斯分布模型的参数估计。

The linear trend is determined by binomial logistic regression method. The change-point of the abrupt change during the period of analysis is determined by the nonparametric Mann-Whitney-Pittitt test and the parametric Bayesian analysis approach based on Poisson distribution.

线性变化趋势分析方法採用二项逻辑迴归法，时间序列转折点分析则採用Mann-Whitney-Pittitt无母数检定与以卜瓦松分佈为主体的贝氏转折点分析两种方法判定。

For every one of my New Year resolutions, I have been a backslider for years.

说到我的新年决心，我每年都做

With empathy and focus on a feeling level, we can all relate to the common ground of mutuality of emotions.

有了同情心和感觉上一级的重点，我们都可以涉及到相互的情感共同点。