The Power of Chi Square Tests for Contingency Tables
作者:
RosaC. Meng,
DouglasG. Chapman,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1966)
卷期:
Volume 61,
issue 316
页码: 965-975
ISSN:0162-1459
年代: 1966
DOI:10.1080/01621459.1966.10482187
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The general theory of the asymptotic power of chi square tests requires the evaluation of a non-centrality parameter which is expressed as a vector-matrix vector product. This parameter is evaluated for two of the models associated withr×ccontingency tables. This permits the power of such tests to be approximated on a large sample basis. Further considered are some implications of these results for sample design problems.
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