摘要: On Box-Cox transform in regression models November 13, 2012 November 13, 2012 By arthur charpentier A few days ago, a former student of mine, David, c 阅读全文
posted @ 2017-09-19 21:18 aongao 阅读(141) 评论(0) 推荐(0) 编辑
摘要: 数据处理 对数变换 正态变换 Box-Cox的R函数 Box-Cox变换的数学解释 参考 对数变换 研究数据的增长率分布存在一定规律的模型 正态变换 Box-Cox变换是统计建模中常用的一种数据变换,用于连续的响应变量不满足正态分布的情况。比如在使用线性回归的时候,由于残差 epsilon 不符合正 阅读全文
posted @ 2017-09-19 17:17 aongao 阅读(453) 评论(0) 推荐(0) 编辑
摘要: Tips for Recognizing and Transforming Non-normal Data by Peter J. Sherman Six Sigma professionals should be familiar with normally distributed process 阅读全文
posted @ 2017-09-19 15:54 aongao 阅读(241) 评论(0) 推荐(0) 编辑
摘要: Making Data Normal Using Box-Cox Power Transformation by Arne Buthmann Normally distributed data is needed to use a number of statistical analysis too 阅读全文
posted @ 2017-09-19 15:48 aongao 阅读(416) 评论(0) 推荐(0) 编辑
摘要: 正态分布 正态检验 1.直方图 set.seed(100) hist(rnorm(1000,0,10)) 核密度函数 set.seed(100) w<-rnorm(1000,0,10) hist(w,freq=FALSE) lines(density(w),col="red") x<--40:40 阅读全文
posted @ 2017-09-19 15:38 aongao 阅读(118) 评论(0) 推荐(0) 编辑
摘要: Dealing with Non-normal Data: Strategies and Tools by Arne Buthmann Normally distributed data is a commonly misunderstood concept in Six Sigma. Some p 阅读全文
posted @ 2017-09-19 15:35 aongao 阅读(198) 评论(0) 推荐(0) 编辑