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cumulative distribution function相关的网络例句

查询词典 cumulative distribution function

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

Listed companies that are more than 30% owned by controlling shareholders shall adopt a cumulative voting system, and the companies that do adopt such a system shall stipulate the implementing rules for such cumulative voting system in their articles of association.

控股股东控股比例在30%以上的上市公司,应当采用累积投票制。采用累积投票制度的上市公司应在公司章程里规定该制度的实施细则。

Oxalic acid loading substantially stimulated soil P release from A1 horizon, showing a linear relationship; but its effect on B horizon soil was relatively negligible, especially at low oxalic acid concentrations mmol L^(-1. Oxalate solutions 0.5~20.0 mmol L^(-1 oxalic acid adjusted to pH 5.16 with 10.0 mmol L^(-1) NaOH had a much higher (1.51~2.98 times) soil-P-release effect than oxalic acid solution the same in oxalate concentration. Therefore, the mechanism of oxalic acid/oxalate triggering release of soil phosphorus is assumed to be dominated by ligand-exchange or complexing reactions of oxalate anionC2O(superscript 2- subscript 4 but not simply acid-dissolving effect. The effect of oxalate anion on soil phosphorus release was found to be somewhat cumulative, i.e. the amount of P released was primarily controlled by the cumulative oxalate loading rate, relatively independent of the manner of oxalate addition (one-time or sequential).

结果表明,草酸能显著促进暗棕壤A层磷的释放,土壤磷溶出量随草酸溶液浓度升高而线性增加;但对B层土壤磷的释放效应相对较弱,草酸浓度低於5mmolL^(-1)时B层磷的释放不明显。pH5.16草酸钠溶液比相同浓度的草酸溶液具有更高的解磷效率,在设置二者浓度为0.5~20.0mmolL^(-1)时,前者的解磷量是后者的1.51~2.98倍,推断草酸盐溶液或凋落物淋洗液中草酸类物质促进暗棕壤磷释放的主要机理在於草酸阴离子C2O(上标 2-下标 4配位反应。

Suppose Y is an absolutely continuous random variable symmetric about 0 with probability density function f and cumulative distribution function F.

假设Y是一绝对连续且对称於0的随机变数,其机率密度函数为f,而分布函数为F。

From the statistical meaning of random load action, the cumulative distribution function and probability density function of equivalent load are developed according to the property of order statistics when load acts for many times.

从载荷作用的统计学意义出发,根据顺序统计量的性质,建立载荷多次作用时等效载荷的累积分布函数和概率密度函数。

119 4 And 0. 006 7, respectively. Both the failure probability density function and the cumulative distribution function can be presented by this degradation failure model.

所选的某型金属化膜脉冲电容器未知参数估计值为0.0001194和0.0067,将该值代入失效分布函数和概率密度函数中。

Secondly, by the P-L estimation of survivor function, this paper proposed the regression models of polynomial cumulative hazard function distribution models, respectively in the case of complete date and random right censoring date; meanwhile generalized least squares estimations of unknown parameters were proposed respectively using two steps algorithm and principal component analysis algorithm.

与已有的关于多项式危险函数模型的研究成果相比,首先本文在统计模型的构造上充分考虑了累积危险函数乘积限估计量的非独立性,给出了协方差矩阵的估计;其次在模型检验方面,本文利用非参数回归分析方法,充分利用了数据本身的信息,减少了对回归关系假定的主观因素,因而分析结果更为可靠。

Firstly, with Gaussianizing filter being defined explicitly, a practical method on filtering performance evaluation is given. Secondly, two typical Gaussianizing filters are studied. One is called the U-filter, based on the probability density function and its derivate. The other is called the G-filter, based on the cumulative distribution function and its inverse. After implementation, mechanisms and performances of each filter are contrastively discussed, an example with lake trial is illustrated.

本文给出高斯化滤波的定义和效果评价方法,然后对比研究了基于概率密度函数及导数的U滤波和基于累积分布函数及反函数的G滤波两种高斯化实现方法、原理与性能,并使用一组测试数据刚试了它们各自的高斯化效果。

It is a usual presumption that distribution function can decide characteristic function and characteristic function can also decide the distribution function by the uniqueness theorem.

但通过本文引入的反例,我们可以知道,唯一性定理在有限区间上不成立,不过在无穷限区间上我们仍可以说,分布函数和特征函数是一一对应的。

Abnormal distribution is not rare in practical measurement. Beta distribution contains not only central distribution but also non-central distribution. It is a good method to simplify the research of practical measurement distribution.

为了解决实际测量中的非正态分布的表示问题,本文采用含有两个参数的Beta分布来统示表示多种类型分布,并且解决了该分布的参数、特征值的计算。

To summarize two-dimensional non-normal joint distribution in use, such as Bivariate Weibull Distribution, Bivariate Log-normal Distribution, Bivariate Gumbel Distribution, and Bivariate Gamma Distribution.

归纳总结了已经出现的非正态二维联合概率分布模型,如二维威布尔分布、二维对数正态分布、二维冈贝尔分布及二维伽玛分布等。

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