Please use this identifier to cite or link to this item:
https://doi.org/10.1016/S0167-9473(03)00009-4
Title: | Using normal quantile plot to select an appropriate transformation to achieve normality | Authors: | Tan, W.D. Gan, F.F. Chang, T.C. |
Keywords: | Box-Cox transformation Exploratory data analysis Exponential transformation Graphical methods Robust estimation Symmetry |
Issue Date: | 10-Apr-2004 | Citation: | Tan, W.D., Gan, F.F., Chang, T.C. (2004-04-10). Using normal quantile plot to select an appropriate transformation to achieve normality. Computational Statistics and Data Analysis 45 (3) : 609-619. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-9473(03)00009-4 | Abstract: | The normal quantile plot is a popular and useful tool for assessing the normality of a data set. A nonlinear plot is used to infer evidence that the data did not come from a normal population. The curvature of a plot is exploited to suggest a transformation required to normalize the data, if it exists. This is done by comparing the curvature of a plot against a series of reference curves which correspond to different transformations. Unlike the maximum likelihood method, this technique is robust to outliers. © 2003 Elsevier B.V. All rights reserved. | Source Title: | Computational Statistics and Data Analysis | URI: | http://scholarbank.nus.edu.sg/handle/10635/105455 | ISSN: | 01679473 | DOI: | 10.1016/S0167-9473(03)00009-4 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
SCOPUSTM
Citations
14
checked on Jan 27, 2023
WEB OF SCIENCETM
Citations
15
checked on Jan 18, 2023
Page view(s)
149
checked on Jan 26, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.