Multiple comparison for checking differences among normal variances
T. Imada
Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 18, 4402-4414
Abstract:
In this study, we discuss multiple comparisons for checking differences among normal variances. Specifically, we consider the multiple comparison with a control and the all-pairwise multiple comparison. For the multiple comparison with a control we determine the critical value for pairwise comparison satisfying a specified significance level exactly and formulate the power of the test under a specified alternative hypothesis. For the all-pairwise multiple comparison we determine two kinds of conservative critical values for pairwise comparison for a specified significance level and calculate the power of the test by Monte Carlo simulation. Finally, we give some numerical examples regarding critical values and power of the test.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2017.1376083 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:18:p:4402-4414
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2017.1376083
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().