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Locally best invariant and locally minimax test of independence

 

作者: Sujit Kumar Basu,   Bimal Kumar Sinha,  

 

期刊: Canadian Journal of Statistics  (WILEY Available online 1975)
卷期: Volume 3, issue 1  

页码: 111-118

 

ISSN:0319-5724

 

年代: 1975

 

DOI:10.2307/3315103

 

出版商: Wiley‐Blackwell

 

数据来源: WILEY

 

摘要:

AbstractLet X1X2… XNbe independent normal p‐vectors with common mean vector $$ = ($$) and common nonsingular covariance matrix $$ = Diag ($sGi) [(1–p) I + pE] Diag ($sGi), $sGi>0, i = 1… p, 1>p>=1/p–1. Write rij= sample correlation between the i th and the j th variable i j = 1,… p. It has been proved that for testing the hypothesis H0: p = 0 against the alternative H1: p>0 where $$ and $sG1,…, $sGpare unknown, the test which rejects H0for large value of $$ rijis locally best invariant for every $aL: 0>$aL>1 and locally minimax as p $$ 0 in the sense of Giri and Kiefer, 1964, for every $aL: 0>$aL $$ $aL0>1 wher

 

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