正态分布的论文引言

答：正态分布是最重要的一种概率分布。正态分布概念是由德国的数学家和天文学家Moivre于1733年首次提出的，但由于德国数学家Gauss率先将其应用于天文学家研究，故正态分布又叫高斯分布，高斯这项工作对后世的影响极大，他使正态分布同时有了“高斯分布”的名称，后世之所以多将最小二乘法的发明权归之于他，也是出于这一工作。
高斯是一个伟大的数学家，重要的贡献不胜枚举。但现今德国10马克的印有高斯头像的钞票，其上还印有正态分布的密度曲线。这传达了一种想法：在高斯的一切科学贡献中，其对人类文明影响最大者，就是这一项。

答：正态分布的数据描述在论文里的写法是
科研论文是呈现研究成果的一种最好的表现形式，其中数据分析的结果则是论文中最为核心的一部分。
每当我们辛辛苦苦写好文章，自信满满投稿后，有时候却连Editor初审的第一关都过不了，甚至惨遭Editor“秒拒”。Editor虽然没有研究的原始数据，但是他们都有一双火眼金睛，常能发现很多平时我们没有注意到的错误和问题。

答：Abstract normal distribution is the most important probability distribution on the basis of many disciplines, has a wide range of uses. In mathematical statistics, stochastic processes play a leading role, the research it has been very rich. The subject to the generation of multivariate normal distribution, and some important properties for the development of the system are summarized, and gives several examples of applications and specific calculation. Key words normal distribution; multivariate normal distribution; produce development; nature; Application
答：【 abstract 】 normal distribution is the most important probability distribution is many subjects research foundation, has wide usage. In stochastic process and mathematical statistics, plays the role xingwu research content about it already is very rich. This topic for multiple normal distribution to the produce development and some important properties of the system are summarized, and some application and putational examples.
【 keywords 】 normal distribution; Multiple normal distribution; Produce development; Properties; application