SND:标准正态分布
标准正态分布(Standard Normal Distribution,常缩写为SND)是统计学中一种重要的概率分布模型。由于其数学形式简洁、性质明确,在学术写作和实际应用中常使用缩写形式,以便于快速书写与交流。该术语广泛出现在数据分析、经济研究、工程计算等多个综合性领域,是进行正态化处理和相关概率推断的基础工具。
Standard Normal Distribution具体释义
Standard Normal Distribution的英文发音
例句
- By using double integral method, the standard of probability density of standard normal distribution was proved, and an example was given to display a widespread application of the nature.
- 利用高等数学中二重积分方法,证明了性质“标准正态分布(SND)概率密度规范性”,并通过例子说明此性质在概率统计学科中的广泛应用。
- The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.
- 由于模型参数的后验条件分布没有确定的分布形式,通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。
- In this paper, we use reversed standard normal distribution curve to solve the problems of chest distortion.
- 本文采用倒过来的标准正态分布(SND)曲线作为缩放比例,解决身高缩放模型中胸部失真的问题。
- Analysising the standard normal distribution ( SND ) based deseasonalization method, proposing the combined SND and GM ( 1,1 ) model;
- 分析了基于标准正态分布(SND)(SND)的去季节性波动方法,提出了结合SND和GM(1,1)模型建立的SND-GM(1,1)混合模型的方法;
- However, the OSCE scores are generally following the standard normal distribution approximately. The variance analysis results show that the scores ' difference among students under different educational systems and grades has statistical significance. 4.
- OSCE成绩在总体上基本服从正态分布,方差分析结果表明不同学制和年级学生考试成绩间的差别有统计学意义。
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