JOINT CONFIDENCE SETS FOR THE MEAN AND VARIANCE OF A NORMAL-DISTRIBUTION

Citation
Bc. Arnold et Rm. Shavelle, JOINT CONFIDENCE SETS FOR THE MEAN AND VARIANCE OF A NORMAL-DISTRIBUTION, The American statistician, 52(2), 1998, pp. 133-140
Citations number
20
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
ISSN journal
00031305
Volume
52
Issue
2
Year of publication
1998
Pages
133 - 140
Database
ISI
SICI code
0003-1305(1998)52:2<133:JCSFTM>2.0.ZU;2-P
Abstract
The standard example of an exact joint confidence set provided in elem entary textbooks involves normal data. In addition textbooks provide a variety of asymptotic approximate joint confidence sets for (mu,sigma (2)) in such a setting. What is lacking, and what is provided in this article, is a comparative study of the size and actual performance of these confidence sets. A mild surprise arises in the comparison. If th e sample size is 100 or more, the asymptotic confidence regions, in ad dition to being more robust to violations of distributional assumption s, actually outperform the exact region in terms of expected area of t he regions.