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.

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490382

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

摘要:

Quality control of chemical laboratory determinations using a standard pool to control errors on the unknowns is considered.

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490383

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490384

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490385

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490387

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490388

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490389

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490390

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490391

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1966.10490392

出版商:Taylor & Francis Group    

年代:1966

数据来源: Taylor