A new family of power transformations to improve normality or symmetry
成果类型：
Article
署名作者：
Yeo, IK; Johnson, RA
署名单位：
Kangwon National University; University of Wisconsin System; University of Wisconsin Madison
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/87.4.954
发表日期：
2000
页码：
954959
关键词：
摘要：
We introduce a new power transformation family which is well defined on the whole real line and which is appropriate for reducing skewness and to approximate normality. It has properties similar to those of the Box-Cox transformation for positive variables, The large-sample properties of the transformation are investigated in the contect of a single random sample.