Direct Approximations for Chi-Squared Percentage Points
作者:
DavidC. Hoaglin,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1977)
卷期:
Volume 72,
issue 359
页码: 508-515
ISSN:0162-1459
年代: 1977
DOI:10.1080/01621459.1977.10480604
出版商: Taylor & Francis Group
关键词: Exploratory data analysis;Fisher's approximation;Nonadditivity;Normalizing transformations;Wilson-Hilferty approximation;Chi-squared percentage points
数据来源: Taylor
摘要:
In contrast to the customary approximations based on normalizing transformations, direct approximations involve only simple functions of parameters (such as degrees of freedom and tail area in the chi-squared distributions). This article uses techniques of exploratory data analysis to develop direct approximations for percentage points in the commonly used portions of both tails of the chi-squared distributions with small to moderate numbers of degrees of freedom. These approximations are convenient to use, and they compare favorably in accuracy with the popular approximations based on normalizing transformations.
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