摘要
正态分布是概率论中最重要的分布,它分别由棣莫弗和高斯各自独立导出,其发现极大的促进了概率论和数理统计的发展.对正态分布两推导过程所蕴含的概率思想及创新点进行了详细分析.另外,还比较了其不同的数学文化背景.
Normal distribution is one of the most important distributions in probability theory. It was discovered by De Moivre and Gauss respectively. It has propelled probability theory and mathematical statistics greatly. The new thought about probability and inovation in the processes were analysed detailed. Besides, the differences mathematical culture between them are contrasted with also.
出处
《纯粹数学与应用数学》
CSCD
北大核心
2007年第1期137-144,共8页
Pure and Applied Mathematics
基金
国家自然科学基金资助项目(10471111)
吴文俊丝绸之路天元基金项目
关键词
正态分布
概率论
无穷级数
二项分布
误差函数
normal distribution, probability theory, infinite series, binomial distribution, error function