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probability density相关的网络例句

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

The 1s electron cloud in hydrogen atom has the largest probability density distribution around a spherical shell with Bohr radius a 0. The author thinks the probability density distribution and electron cloud belong in fact,to statistic regularity, and imply a macro-time scale is used, therefore in hydrogen molecule the product of energy and time is far larger than Planck Constant.

氢原子中 1s电子的电子云呈球形,电子的最大几率密度分布出现在玻尔半径a0 的球壳内,认为几率密度分布及电子云属统计规律,意味着已经使用了宏观时标,这样就使氢分子体系中能量和时间的作用量远大于普郎克常数;根据电子云的交叠,用经典力学计算了基态氢分子的结构常数,获得键长、键能及力常数的表达式分别为Re=2a0 ,De=ze/4 2a0 ,k=ze/2 2a30 ,采用原子单位 a 。u 。

By the geometric probability model,the intuitionistic method is provided for the marginal density function and conditional probability density function .

利用几何概型得出均匀分布的边缘密度函数和条件概率密度函数的直观求法。

According to these two joint density functions, various joint probability density functions between the ambiguity solution and the position parameter solution are obtained, and various conditional probability density functions of baseline position parameter vectors are also obtained.

根据这两个联合概率密度公式得到了各种类型的模糊度和基线位置参数向量的联合概率密度函数,还得到了各种类型基线位置参数向量的条件概率密度函数。

On the basis of the data obtained from the field observations and wind-tunnel modelling, the calculations and comparisons on probability distribution and density, linear correlation analysis of time series, conditional probability density and so on of wind speeds and directions between various sites are made with the aid of statistical analysis of time series, and changes of these variables with height and representativeness of observation period of meteorological data are also discussed.

本文以现场气象观测和风洞模拟实验数据为基础,通过对时间序列进行的统计分析,计算和比较了各个厂址风速、风向的概率分布、概率密度、时间序列线性相关分析、条件概率密度等,还对它们随高度的变化情况、观测时段代表性等问题进行了讨论。

After the joint probability density function between the 'float' ambiguity solution and the fixed ambiguity solution is introduced in this section, the conditional probability density function of the integer ambiguity solution is gotten according to this joint probability density function.

在介绍了模糊度浮点解和其固定解的联合概率密度函数之后,本文根据这个联合概率密度函数得到了模糊度整数解的条件概率密度函数。

Normal distribution in statistics is based on the probability density function in the form of representation, and set up a continuous random variable X, the probability density function f has the form of Figure 1, where a, b are constants and were known as the average value and standard deviation,π, e, respectively pi and natural constants, claimed that X subject to parameters a, b of the normal distribution.

正态分布在统计学中是以概率密度函数的形式表述的,设连续型随机变量X的概率密度函数f有图1中的形式,其中a、b为常数,分别被称为平均值和标准差,π、e 分别为圆周率和自然常数,则称X服从参数为a,b的正态分布。

Proper combinations of number of outcomes, discrete step size, and scaling of the random variable, the discrete cumulate percentage distribution and discrete percentage density will converge to the continuous cumulative probability distribution and probability density function respectively.

适当之出现或试验次数或取样数量、散化阶梯大小、随机变数缩放比例可使离散累积百分比分布及离散百分比密度趋近于连续的累积机率分布及机率密度函数。

The characteristic function of the probability density function of response variable is obtained by the high efficient multidimensional numerical integration method or convolution integral based on response surface method. Then the discrete probability density function of response variable is calculated using the fast Fourier inverse transform technique, at last the cumulative distribution function of the response variable can be quantitatively determined.

首先利用高效多维数值积分方法或基于响应面法的卷积积分求解功能函数的分布函数的特征函数,也就是进行Fourier正变换;然后利用快速Fourier逆变换数值求解功能函数的概率密度函数,进而求得失效概率。

The current sensitivity probability density function of energetic materials was deduced based on Frank-Kamenetskii parameter and resistance supposing as stochastic variable of normal distribution, by the application of the probability density formula of function in two random variables.

将Frank-Kamenetskii参数和电阻假设为正态分布的随机变量,应用二维随机变量函数的概率密度公式,推导出了含能材料电流点火感度的概率密度函数。

First,we deprived probability density of median closely according to probability density formula of Laplace distribution,from general to special; then we proved the unbiasedness of L 1 estimation according to probability density of median.

笔者基于误差分布理论及概率统计理论,由Laplace分布的概率密度函数公式出发,采用由一般情形到特殊情形的推理方法,严密地推导

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如果你不幸失恋了,请告诉我,我会帮助你摆脱困境,真的,请联系我啦!

China's plan to cut energy intensity by 20 percent and pollutant discharges by 10 percent between 2006 and 2010 is a case in point.

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