Power Comparison of Two Tests of Non-Random Clustering
作者:
JosephI. Naus,
期刊:
Technometrics
(Taylor Available online 1966)
卷期:
Volume 8,
issue 3
页码: 493-517
ISSN:0040-1706
年代: 1966
DOI:10.1080/00401706.1966.10490382
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper presents two definitions of maximum cluster, that have sometimes been used to test for non-random clustering. We compare the power of the testa based on these statistics, and show that when the clustering interval is sufficiently small, one of the tests is more powerful for a wide class of alternative hypotheses. We show that this test is the generalized likelihood ratio test for an alternative hypothesis related to a particular type of non-random clustering.
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