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binomial相关的网络例句

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与 binomial 相关的网络例句 [注:此内容来源于网络,仅供参考]

On two binomial coefficient s and their related combinatorial identities;2. Several identities on binomial coefficient s and trigonometric func tion values of special angles are obtained.

利用组合数学的一些技巧给出了切比雪夫多项式的通项表达式,并得到了一些二项式系数,特殊三角函数值的恒等

Through a probability problem,a connection is showed between binomial distribution and negative binomial distribution and therefore a composed formula is set up,which is proved by way of probability and algebra.

通过一个概率问题,给出二项分布与负二项分布的一种联系,从而建立一个组合公式,并由概率思维方式与代数方式给出证明

Using binomial distribution P + Q = 1 to describe "succession attribute" of three suffered stand systems, the coefficients of 1, 3, 3, 1 in the binomial equation of3 will become assessment of probability in different attributes of systems.

对3个蠢害林分系统的"演变属性"用二项分布P+Q=1来描述,那么二项式3方程中的系数1、3、3、1成为系统中不同"演变属性"的概率论判断。

Research about the Binomial and Chebyshev Match;2. Nevertheless, the traditional binomial produ ctivity equation can't work under the formation pressure unknown.

气井产能方程能够直接描述流压与产量的关系,但是传统的二项式产能方程在地层压力未知或者地层压力不准的情况下无法使用。

The binomial deliverability equation can only be used to describe the high velocity non-Darcy filtering flow. For low permeability fracturing gas wells, due to low permeable property and high flow conductivity of the formation, the filtering flow laws of the formation are different from those before fracturing, and binomial deliverability equation can not be used for the flow condition of gas wells, therefore, new equation is needed.

二项式产能方程只能描述高速非达西渗流,对于低渗压裂气井,地层的低渗透性和裂缝的高导流能力使得其渗流规律已经和压裂前大不一样,二项式产能方程已无法描述气井的生产状况,必须建立新的方程。

Firstly, convergence condition of a binomial is discussed, and along with the calculating formula of region of convergence, the matching band of fractance circuit attained by binomial expansion method is indicated definitely.

首先讨论了二项式的收敛条件,并结合收敛域的计算公式,明确指出使用二项展开法所得到的分抗电路的逼近带范围。

In Chapter 2, by means of the integral theory, a number of reciprocal series involving binomial coefficients have been established and some results related to binomial coefficients have been extended.

本章利用定积分的方法和常见的发生函数,结合一些运算技巧,建立了一些与二项式系数的倒数有关的恒等式。

The results of this study demonstrate that the data of HBsAg carriers distributed in different sizes of families do not fit the binomial distribution and Poisson distribution,but fit the Neyman distribution and negative binomial distribution.

结果表明HBsAg携带者在家庭中的聚集性可以用统计的理论分布证明。

We studied its distribution pattem by using the following measures f the test for fitting to the poisson , negative binomial and neyman a distribution . at the same time , we use negative binomial parametef , dispersal index , patchiness index , cassie s index and clumping index , estimated the aggregation intensity . the results showed that the distribution pattern is typically aggregated , and the intensity of aggregation vari

经统计分析,青岛百合复合种群、各局部种群内个体的分布格局离散分布拟合的结果符合负二项分布;各聚集强度参数中,丛生指标)和 cassie 指标均大于o ,负h项参数限)均较小,扩散系数k卜扩散型指数)和聚块性指标均大于1 ,以上这些表明各个局部种群的分布格局都为聚集分布。

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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