文献类型：期刊文献

中文题名：基于随机模拟方法对正态概率纸检验的改进

英文题名：Improvement of Normal Probability Paper Test by the Method of Random Simulation

作者：岳鹏[1];朱坤平[1]

机构：[1]华东理工大学数学系,上海200237

年份：2017

卷号：33

期号：3

起止页码：14

中文期刊名：统计与决策

外文期刊名：Statistics & Decision

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2014】；CSSCI:【CSSCI2017_2018】；

语种：中文

中文关键词：正态概率纸;随机模拟;相关系数

外文关键词：the normal probability paper test; random simulation; coefficient of correlation

摘要：传统的正态概率纸检验是通过直觉来判断概率纸上的数据和直线拟合的好坏,具有主观性,准确性不高。文章在传统正态概率纸检验的基础上,通过标准化的样本数据与标准正态分布的随机数在概率纸上散点相关系数的对比,给出了一定显著性水平下的正态性检验方法,该方法把定性与定量相结合,保留了概率纸检验直观的特点,并提高了正态概率纸检验的准确度。
The traditional Normal Probability Paper Test estimates the fitting rate between Data and line by sense, it is subjective, and the accuracy is not high. This Paper bases on the traditional Normal Probability Paper Test via comparing the normal- ized sample data and the correlation coefficient of Standard normal distribution of random Numbers on the normal probability pa- per, presents the Normal test method under a certain level of significance, combine the identification and quantification, enhancing the accuracy of The Normal Probability Paper Test.