几何概率

随机针偶与凸体K相交的几何概率问题

A problem of geometric probability for random pairs of needles intersecting a convex body K

然而，几何概率中一些问题需要更多的工具，例如：在解决区域格的Buffon投针问题时，需要计算出包含在区域格的基本区域中的针的测度。

Some problems in geometric probability require more tools other than intersection measures . For instance , solutions to the Buffon needle problem of lattices need to compute the measure of the needle that is contained in a fundamental region of the lattice .

本文结合超几何概率分布，二项分布和poisson分布，应用实例进行了讨论和介绍。Poisson分布数据正态近似分析中的样本含量问题

This paper introduces and discusses this problem by combining the three important distributions ( viz : hypergeometric probability distribution , binomial distribution and poisson distribution ) with some practical examples . The Determination of Sample Size for Analysis of Poisson Data Using Normal Approximation

它的发展也始终和几何概率联系着。

The development has always been linked with geometric probability .

关于两个几何概率问题

A Research on Two Geometry Probability Questions

基于几何概率的聚类分析

Cluster Analysis Based on Geometry Probability

一类几何概率问题的推广

The Generalized Problem of Geometric Probability

凸体的弦幂积分及其在几何概率中应用问题是积分几何的重要理论成果。

The chord-power integrals and their applications in geometry probability are the very important theoretical achievement of integral geometry .

R~3上相交线偶与凸体相交的几何概率问题

A Problem of Geometric Probability for the Intersection of Pairs of Lines Intersecting A Convex Body in R ~ 3

这些公式能够被看作是各种交集测度的积分公式，它们对于解决几何概率问题是很有用的。

These formulas can be viewed as integral formulas for various intersection measures . They are useful for solving problems in geometric probabilities .

本文提出基于几何概率的聚类分析方法，该方法运用几何概率直接根据像元在灰度空间中的分布特征决定分类数，按照先分大类、后分小类、逐层细分的顺序确定分类方案。

This paper proposes a cluster analysis approach based on geometric probability , which determines the classification number directly according to the distributive characteristics of pixels in the spectral space by utilizing geometric probability and gradually generates the hierarchical classification system beginning at the top level .

基于结构面实测统计原理和方法，建立结构面几何参数概率模型，运用蒙特-卡洛（Monte-Carlo）模拟原理和方法，进行岩体结构的室内再现。

Based on statistical theory for observational discontinuities , probability model of geometrical parameters of discontinuities are developed and rock mass structure is recalled on the computer by Monte Carlo analog method .

该文通过现场岩体节理测量与调查，建立了较为符合实际的岩体结构面几何参数概率模型；

By the field measurement and investigation , this paper establishes a rather practically conformable probability model of the geometric parameters of rock mass structural planes .

从几何及概率理论的角度对自杀式恐怖袭击中爆炸碎片产生的伤亡后果进行了数学建模。

Utilizing the geometric and probability theory , the paper has established a casualty mathematical simulation model in which the casualties are likely to be brought about mainly by the explosive debris in most suicide bombing events .

在岩体节理调查的基础上，对节理几何特征的概率分析进行完善和改进，主要有：扩展了岩体节理平均迹长估计的方法。

The probability analysis of joint geometry characteristic is advanced .

基于响应面法的几何非线性结构概率响应分析

Probabilistic Response Analysis of Geometrically Nonlinear Structures Based on Systematic Response Surface Method

超几何分布接收概率新数学模型及其算法

New Hypergeometric Distribution Mathematic Model and Its Arithmetic

实验结果表明，与目前的一些概率纹理图像检索方法相比，本文提出的基于多尺度几何分析的概率纹理图像检索方法取得了更好的检索精度。

Experimental results demonstrate that the proposed probabilistic texture retrieval method performs much better than some existing methods .

利用施工现场调研统计资料，给出了扣件式钢管模板支撑架几何参数的概率模型。

Making full use of site investigation data , probabilistic models for geometric parameter of FSTS formwork-support were established .

积分几何与几何概率自20世纪30年代成为独立的数学分支以来，已经积累了十分丰富的理论成果以及许多重要的应用。

As an independent branch of mathematics , integral geometry and geometric probability is considered to have been formally established in the 1930 , s .

本文首先采用几何法分析概率时钟同步方法的内在涵义，提出改进的星间链路概率时钟同步法。

This paper analyzes inherent meaning of probabilistic clock synchronization with geometry method , and then it proposes an improved inter-satellite probabilistic onboard clock synchronization method .

索赔总额服从几何分布的破产概率及渐近估计

The Probability of Ruin and Approachable Estimate in the Geometry Distribution Model

传统的几何积分法、概率积分法解决不了的一些难题，用力学方法可能得到解决。

Some difficult problems which can not be solved by the conventional methods , such as geometric method and probability integration .