1) quasi-normal approximation
准正态分布假定
1.
In this paper, the quasi-normal approximation of the fourth order moments and the clipping ap-proximation of the third order moments are expounded and verified with the observed turbulence datain the surface layer.
本文利用近地面层大气湍流量的观测资料对四阶矩的准正态分布假定和三阶矩的剪切近似进行了实验验证。
2) standard normal distribution
标准正态分布
1.
A compact closed form of standard normal distribution;
标准正态分布的简洁闭式
2.
Using variable transformation,differential median theorem and property of probability, the probability integral formula of density function of random variable X for obeying standard normal distribution are proved by some methods.
利用变量代换、微分中值定理、概率性质等方法 ,对服从标准正态分布的随机变量X的密度函数的概率积分公式给出了多种证明方
3.
In this paper,we used some different methods to prove the convergence of t -distribution to the standard normal distribution.
给出了t-分布收敛于标准正态分布的几种证明方法 。
3) standardized normal distribution
标准化正态分布
4) non-normal stable distribution
非正态稳定分布
1.
Because empirical distributions of rates of return on risky securities have characters of skewness and excess kurtosis,this article puts forward studying portfolio selection model conditional on non-normal stable distributions.
针对风险证券收益率的经验分布所具有的偏态和过度峰态等非正态分布特征,提出在非正态稳定分布条件下研究投资组合模型。
5) normal distribution law
正态分布定律
6) Quasi-stationary assumption
准稳态假定
补充资料：准正
1.据一定标准查对。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条