An Empirical Nonlinear Data-Fitting Approach for Transforming Data to Normality

Authors
Lin, Lawrence I-Kuei Vonesh, Edward F.
Citation
Lin, Lawrence I-kuei et F. Vonesh, Edward, An Empirical Nonlinear Data-Fitting Approach for Transforming Data to Normality, American statistician , 43(4), 1989, pp. 237-243
Journal title
American statistician → ACNP
ISSN journal
00031305
Volume
43
Issue
4
Year of publication
1989
Pages
237 - 243
Database
ACNP
SICI code
Abstract
A general method is proposed by which nonnormally distributed data can be transformed to achieve approximate normality.The method uses an empirical nonlinear data-fitting approach and can be applied to a broad class of transformations including the Box-Cox, arcsine, generalized logit, and Weibull-type transformations.It is easy to implement using standard statistical software packages.Several examples are provided.