Normal Scores, Normal Plots Tests for Normality
作者:
B.M. Brown,
T.P. Hettmansperger,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1996)
卷期:
Volume 91,
issue 436
页码: 1668-1675
ISSN:0162-1459
年代: 1996
DOI:10.1080/01621459.1996.10476736
出版商: Taylor & Francis Group
关键词: Goodness of fit;Normal probability plots;Normal scores;Q-Q plots;Shapiro-Wilk test
数据来源: Taylor
摘要:
In this article we develop new plotting positions for normal plots. The use of the plots usually centers on detecting irregular tail behavior or outliers. Along with the normal plot, we develop tests for various departures from normality, especially for skewness and heavy tails. The tests can be considered as components of a Shapiro-Wilk type test that has been decomposed into different sources of nonnormality. Convergence to the limiting distributions is slow, so finite sample corrections are included to make the tests useful for small sample sizes.
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