COMPARING POWER AND MULTIPLE SIGNIFICANCE LEVEL FOR STEP UP AND STEP DOWN MULTIPLE TEST PROCEDURES FOR CORRELATED ESTIMATES

dc.contributor.author	Palaszewski, Bo
dc.date.accessioned	2011-02-22T13:58:00Z
dc.date.available	2011-02-22T13:58:00Z
dc.date.issued	1994-05-01
dc.identifier.issn	0349-8034
dc.identifier.uri	http://hdl.handle.net/2077/24605
dc.description.abstract	We consider hypothesis testing problems arising in e.g. the context of comparing k treatments with a control. The case of equi-correlated estimates is mainly discussed, although also unequal correlated estimates (e.g. unequal sample sizes for the treatments, when compared to a control treatment) are mentioned briefly. So called step down test procedures are compared with step up test procedures, with respect to power functions. Comparisons of rejected null hypotheses are also performed. No practical differences in performances between step up and step down test procedures could be found for finite sample sizes.	sv
dc.format.extent	18	sv
dc.language.iso	eng	sv
dc.publisher	University of Gothenburg	sv
dc.relation.ispartofseries	Research Report	sv
dc.relation.ispartofseries	1994:5	sv
dc.subject	Multiple level of significance	sv
dc.subject	step up test procedure	sv
dc.subject	step down test procedure	sv
dc.subject	power comparisons	sv
dc.subject	product correlation structure	sv
dc.subject	finite sample sizes	sv
dc.subject	Monte Carlo simulation	sv
dc.title	COMPARING POWER AND MULTIPLE SIGNIFICANCE LEVEL FOR STEP UP AND STEP DOWN MULTIPLE TEST PROCEDURES FOR CORRELATED ESTIMATES	sv
dc.type	Text	sv
dc.type.svep	report	sv