期刊
COMPUTATIONAL STATISTICS & DATA ANALYSIS
卷 45, 期 3, 页码 609-619出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0167-9473(03)00009-4
关键词
Box-Cox transformation; exploratory data analysis; exponential transformation; graphical methods; robust estimation; symmetry
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. (C) 2003 Elsevier B.V. All rights reserved.
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