On the optimum number of hypotheses to test when the number of observations is limited

Statistica Sinica

Volumn 15, Issue 3, 2005, Pages 841-855

  Futschik, Andreas ^a   Posch, Martin ^b  

^a UNIVERSITY OF VIENNA   (Austria)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Bonferroni rule; Classification; Dunnett test; False discovery rate; Multiple hypotheses testing

Indexed keywords

EID: 27144545378     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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