二项的

基本解释 (translations)

binomial

与二项的相关的网络例句 [注：此内容来源于网络，仅供参考]

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

Can satisfy this binomial cleanness to taste, no matter be of what type,can choose.

能满足这二项的清洁品，无论是什么类型的都可以选用。

Therefore, in this article,we first discussed the compound negative binomial, it able to simultaneously fitthe claim size and the claim number. At the same time, we studied the sum of themutually independent compound negative binomial and the sum of the mutuallyindependent compound negative binomial with discount factor and the sum of themaximal compound negative binomial; Next, for the claim data to be better fitted, this article has establishedthe superposition distributed model about the weighted average of the discreterandom and has discussed the estimation method of the parameters of thesuperposition distribution; Once more, we in detail elaborated the NCD which based on the claim numberand the NCD which based on the claim size and the claim number. Besides, weestablished an applied NCD model which also based on the claim size and the claimnumber; At last, we introduced the rewards and punishment coefficient of automobiletravel region into the applied NCD model, availably consummated the present NCD.

因此，本文首先讨论了能拟合索赔额大小和索赔次数的复合负二项分布，并对相互独立的复合负二项分布的和、带有折现因子的相互独立的复合负二项分布的和以及最大复合负二项分布进行了研究；其次，为了更好地拟合索赔数据，本文建立了离散随机变量加权平均的叠加分布模型，并讨论了其中的权数的估计方法；再次，本文详细阐述了基于索赔次数的无赔款优待系统、考虑索赔次数和索赔额大小的无赔款优待系统以及应用型的同时考虑索赔次数和索赔大小的无赔款优待系统；最后，本文在无赔款优待系统中引入了汽车行驶区域奖惩系数，对现行的无赔款优待系统进行了完善。

Results: GLMMs allow the index may be one of the exponential family (Contimuum distributions including Nomal ,beta distribution ,chisquared distribution etc;Disperse distributions including Binomal ,Poisson and inverse Binomal etc), the vecor of expected means of the index is linked to the model parameters by a link function and model the linear equation, simple the calculator procedure.

结果： 广义线性混合效应模型允许临床疗效评价指标是指数家族中任意分布（如：连续分布包括正态分布、beta分布、卡方分布等；离散分布包括二项分布、泊松分布、负二项分布等），可以通过连接函数将疗效指标的均数向量与模型参数建立线性关系，简化运算过程。

This paper points out that as the peak of the first order wind spectrum situated at a region of very low frequency, the contribution of the sum_frequency part to the second order wind spectrum is no longer negligible.

本文指出，由于风速谱与波浪谱不同，它的能量峰值位于极低频率处，因此二阶风速谱中和频项的贡献不能忽略，为此本文首先导出了保留和频项情况下的二阶风速谱表达式，并将和频项与差频项在数值上作了比较。

Global maximum likelihood estimation was used to fit GNBD and negative binomial distribution. Results from different bottomlands in the same season and the same bottomlands in different seasons were compared with each other.

通过全局最大似然法分别拟合广义负二项分布和负二项分布，比较同一季节不同滩地和不同季节同一滩地的分布拟合结果。

Generalized negative binomial distribution was successfully fitted to all the snail data. The parameters of GNBD from the same bottomlands in different seasons changed differently, and parameters of GNBD from different bottomlands in the same season were not similar even if their snail density were close.

不同季节同一滩地间的广义负二项分布参数的变化不一致，同一季节不同滩地广义负二项分布的参数估计结果即使在钉螺密度相近的情况下也不相近，钉螺生存环境的微小差异可以通过广义负二项分布的参数灵敏反映。

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。

The data were fitted with the basic negative binominal model and the generalized estimation equation based NBM with 3 different working correlation structures.

利用基本负二项回归模型和分别基于3种作业相关结构的广义估计方程负二项模型对数据样本进行拟合。

The partly cold-adaptation stratagem of the high altitude amphibian tadpole were researched in the laboratory by analyzing the high altitude amphibian tadpole of Scutiger boulengeri mainly on endpoints related to the dynamic variation of the micro-spatial behavior distribution patterns, the experiment of the temperature tolerance, and the enzyme content and activity of the lactic acid dehydrogenase isozyme in special temperature condition.The behavior distribution of the Scutiger boulengeri t...

西藏齿突蟾蝌蚪在不同温度的行为分布是一连续、动态过程，需用多种检验方法综合利用才能进行判断；在15℃，除低海拔分布的西藏齿突蟾种群外所有实验物种蝌蚪均符合负二项分布、NeymanⅡ型分布；在10℃，高海拔两栖类蝌蚪均符合负二项分布、NeymanⅡ型分布；在5℃、0℃低温时，高海拔两栖类不同分组的西藏齿突蟾蝌蚪的负二项分布、NeymanⅡ型分布均呈现明显差异，这可能与高海拔两栖类蝌蚪在低温条件下通过不断地改变其行为分布方式来避免自身被冻伤有关。

与二项的相关的网络解释 [注：此内容来源于网络，仅供参考]

binomial distribution：二项分布

二项分佈(binomial distribution)是一个离散型机率分佈. 它描述n个伯努利试验成功的次数. 此伯努利试验成功机率為p. 一个分佈X如果服从次数為n,成功机率為p的二项分佈,记作: X ~ B(n, p)

binomial distribution：二项分配

文献中的估计量, 例如Kunin(1998)提出在二项分配(Binomial distribution)假设下之丰度估计量,表现呈低估情形. 本文假设所有区块服从负二项分配并针对非空区块进行抽样, 利用最大摡似估计法与动差法提出新的丰度估计量,

negative binomial distribution：负二项分布

考虑不良事件发生例次和影响因素进行拟合Poisson回归和负二项回归模型,并比较两种模型拟合的效果,以期为新药的安全性评价提供新的有效的方法.负二项分布(negative binomial distribution)是一种离散型分布.负二项分布有两个参数即μ和k[2],

Find the coefficients in binomial expansion：找出在二项展开式的系数

1. Expansion of Binomial 二项式的展开 | 2. Find the coefficients in binomial expansion 找出在二项展开式的系数 | 3. Find the unknowns in some given terms 找出已提供的各项的未知数

binomische Reihe binomial series：二项级数

binomisch binomial 二项式的 | binomische Reihe binomial series 二项级数 | binomischer Lehrsatz binomial theorem 二项式定理

binomial theorem：二项定理

20岁时发现二项定理(binomial theorem). 他和克莱姆(Cramer)一样在机械学、几何学、机率、数论和微积分有所研究. 他的第一个工作Sur le jeu de franc-carreau是引导微积分到机率理论. 紧接著著作 Th? orie de la terre 而且变成重要的自然历史学家,

Binomial：二项分布检验

度分析(Reliability Analysis) 第一节 信度分析的一般过程 第二节 信度评价实例第十三章 非参数检验(Nonparametric Test) 第一节 χ2检验(Chi-Square test) 第二节 样本率与总体率比较的二项分布检验(Binomial) 第三节 游程检验

Binomial：二项的

binomial theorem 二项式定理 | binomial 二项的 | binominal 二名制的

minimax estimate for binomial distribution：二项分布的最小最大估计

minimax error norm 极大极小误差范数 | minimax estimate for binomial distribution 二项分布的最小最大估计 | minimax estimate of location parameter 局部参数的最小最大估计,局部参数的最小最大...

binominal distribution：二项分布

binomial 二项式;二项的 | binominal distribution 二项分布 | binormal 副法线