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beta distribution相关的网络例句

查询词典 beta distribution

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

Among the Bayesian distribution, beta distribution is most widely used as a result of its simplicity and flexibility.

基于上述分析,本文在分析现有的概率信誉模型基础上,尤其是β分布信誉模型的基础上,探讨了一种基于高斯分布的形式化信誉模型。

Making full use of knowledge in manufacturing tolerance analysis combined with the beta distribution model is introduced and applied.

所用分析方法充分利用制造环境知识,把贝塔分布应用于公差设计。

Based on the definition and Beta distribution, a novel subject trust model is proposed, and an algorithm to combine recommendation trust is illustrated.

另一种是主观信任关系,主观信任恰当地描述了分布网络环境中实体间的信任关系,应用灵活。

In order to avoid that a small amount of field test information would be obliterated by a large amount of prior information,a Bayesian method with mixed Beta distribution was used.

为避免少量的现场试验信息被大量的先验信息淹没,使用了以混合贝塔分布为先验分布的贝叶斯方法。

In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] parameterized by two positive shape parameters, typically denoted by α and β.

在概率论与统计,贝塔分布是一个连续概率分布上定义的区间[ 0 , 1 ]参数由两个积极的形状参数,通常是指由α和β。

The 8087 s instructions are estimated with beta distribution and normal distribution separately, the whole program s execution time is approximated with normal distribution after adding instruction.

分别用贝塔分布和正态分布模拟8087指令的运行时间,进行指令叠加后用正态分布模拟整个程序的运行时间;实验结果表明,基于分布函数的程序执行时间预估方法是可行的;最后对估计出来的时间区间作了调整。

Methods According to the Bayesian conjugate prior distribution principle, the estimating methods of prior parameters of the conjugate beta distribution Be of the binomial distribution was given by writing the SAS programs.

根据贝叶斯共轭先验分布原理,对二项分布的共轭贝塔分布中的α、β两个先验参数的确定方法进行分析比较,编写SAS程序确定先验参数。

Based on the above analysis, and on the foundation of analyzing the existing probability reputation model, especially beta distribution reputation model, a formal reputation model based on Gaussian distribution has been discussed.

仿真实验表明,基于高斯分布的形式化信誉模型更接近最新的信誉,信誉振荡幅度小,在抵抗合谋攻击、诋毁攻击、身份攻击等典型的信誉攻击方面具有更强的抵御能力。

In this paper, based on the research on Incomplete Beta Function, we introduce three different methods for implementing self-adaptive image contrast enhancement Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.

基于对非完全Beta函数的研究,介绍了三种不同的自适应图像对比度增强方法。

I have calculated the species diversity for 3 layers (i.e. tree layer, shrub layer and herb layer) by means of various biodiversity index formulas and analyzed the relative species abundance using 9 models of the probability density distribution functions, such as, 3 Distribution (or Beta Distribution, Weibull Distribution, Lognormal Distribution, Poisson Distribution, Binomial Distribution, Negative Binomial Distribution ,Geometric Distribution, etc.. chi-square analyses were conducted on species distribution by using the chi-square test formulated by Pearson to test which distribution function is better, the result of chi square test made it possible to reject the other 8 distribution functions, theβdistribution function performs better than other probability density functions, it has a very close approximation, which can be used for the description of relative abundances of species in forest communities in this data set.

在相对多度研究上选用了九种概率分布模型,这九种概率密度分布函数依次为:贝塔分布、Weibull分布、对数正态分布、泊松分布、二项分布、负二项分布、几何分布、对数分布和奈曼A型分布,并进行了严格的卡方检验,结果表明:其它八种分布均被遭到拒绝,只有贝塔分布获得了通过,且拟合的结果非常理想。

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