概率分布

The results showed that the spatial distribution patterns of cochineal in cactus belonged to aggregation distribution, the basic component of distribution was individual population, the probability distribution was in accorded with negative binomial and the cochineal mainly distributed the second and third stem in cactus.

结果表明，该虫在寄主仙人掌茎片上的空间分布型属于聚集分布，分布的基本成分是个体群，概率分布符合负二项分布，主要分布在仙人掌的第2和第3级茎片上。

For this type of new model,we study it mainly from these ways:First,we make further research on the nature features of their distributions;give out the probability distribution of the mixed stochastic variables,and the statistical features and the approximate distributions of the short-term individual risk models. Also the relationships between the total amount of compound compensation and individual one were investigated.At last we give out a kind of practical calculation method for the individual risk model.That is the calculation of the number of claims translating into the calculation of Vandermonde determinant.Second,a kind of risk model with main claims and by-claims is built under specific conditions.

对于这类有主副理赔的风险模型，我们主要从以下几个方面进行研究：首先，对短期个别风险模型和长期聚合风险模型的理赔总额的分布性质及特征做了较深入的研究，给出了混合型随机变量和的概率分布和短期个别风险模型理赔总额的统计特征与近似分布；在复合分布的框架下，研究了聚合风险模型理赔总额和个别理赔额之间的分布关系，给出了和个别理赔额对应的理赔次数的实用计算方法，即在总索赔额服从复合泊松分布时，把不同理赔额对应的理赔次数的计算转化为线性方程组的计算。

On the basis of the data obtained from the field observations and wind-tunnel modelling, the calculations and comparisons on probability distribution and density, linear correlation analysis of time series, conditional probability density and so on of wind speeds and directions between various sites are made with the aid of statistical analysis of time series, and changes of these variables with height and representativeness of observation period of meteorological data are also discussed.

本文以现场气象观测和风洞模拟实验数据为基础，通过对时间序列进行的统计分析，计算和比较了各个厂址风速、风向的概率分布、概率密度、时间序列线性相关分析、条件概率密度等，还对它们随高度的变化情况、观测时段代表性等问题进行了讨论。

In this paper, a computer programme is discussed, which, as a mathema-tical model, can be used to calculate the probability distribution as respects random variable-normal, lognormal, binomial, negative binomial and Poisson distributions, and can be used for x2 test of goodness of fit as well.

本文是计算随机变量概率分布的数学模型—正态分布，对数正态分布、二项分布、负二项分布。普阿松分布及检验X~2适度检验的一个计算机程序。

AIM: To generate random sequences that can fit the anticipated probability distribution based on the thinking of MC, METHODS: We establish a method in the IDE of visual studio by the way of Linear Congruential Method to generate random sequences.

目的：基于MC法生成符合预期概率分布的随机序列，以便应用在以后的仿真系统中目的：基于MC法生成符合预期概率分布的随机序列，以便应用在以后的仿真系统中。

The phase probability distribution centralizes more and more with the increase of |α|2. And the increase of g destroys the symmetry of the phase probability distribution.

随着|α|~2的增加，相位概率分布越来越集中，g的增大破坏了相位概率分布的对称性。

Especially when prognosticated data appear at the coda of transferred probability distribution or the likelihood function is far tight, general particle filter may be expired.

特别是当观测数据出现在转移概率分布的尾部或似然函数同转移概率分布相比过于集中时，一般的粒子滤波器可能失效。

This paper presents a reasoning algorithm which contains three new concepts , they are 1 assuming that cause nodes do not affect result node directly , they only contribute an intensity to the probability distribution of result node 2 importing the concept of unitizing coefficient 3 assuming that they are mutex among all states of all linkage events pointing to a same node .

即原因节点对结果节点状态的影响是非直接的，原因节点只影响结果节点各状态的概率分布，结果节点的状态由这个状态概率分布随机决定；②引入归一化常数来保证推理过程中的归一性；③通过推导出多值因果图的一个性质，即可以在推理过程中假定指向同一节点的所有连接事件的各状态之间彼此互斥来保证推理过程的互斥性。

Based on the given probability distribution of a system mode, the F-discrepancy or quasi F-discrepancy representative points and the mean square error representative points representing the probability distribution of system mode are selected by means of number-theoretic method. The model-set used in a multiple-model approach is then constructed.

在已知系统模式的概率分布条件下，由数论方法获得代表其概率分布的F-偏差或伪F-偏差代表点和均方差代表点，利用这些代表点构成覆盖系统模式空间的模型集合。

Formly, HDR casts classification problems and regression problems into a unified regression problem. Clustering is performed in both output space and input space at each internal node, termed "doubly clustered" and discriminants in the input space are automatically derived from the clusters in the input space. A hierarchical probability distribution model is applied to the resulting discriminating subspace at each internal node.

在图像的分类和检索中，以前的层次判别回归方法把分类和回归统一成回归问题，在每个内部节点进行输入和输出空间的双聚类，输入空间的分类子空间可以自动从聚类中获得，再用层次概率分布模型计算判别子空间，这样就构成了输入空间由粗到精的概率分布，可以准确而且快速地实现高维数据的检索。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷