DocumentCode
3152319
Title
A new class of asymptotically valid confidence regions confidence regions
Author
Mu, Weiyan
Author_Institution
Sci. Sch., Beijing Univ. of Civil Eng. & Archit., Beijing, China
fYear
2011
fDate
16-18 April 2011
Firstpage
980
Lastpage
982
Abstract
Weerahandi introduced the concept of generalized confidence intervals, which are to develop interval estimation. But it is difficult to use this method for constructing generalized confidence regions of vector parameters. In this paper we give a new method based on generalized bootstrap variable to construct asymptotically correct confidence regions of vector parameters.
Keywords
parameter estimation; Weerahandi; asymptotically valid confidence regions; generalized bootstrap variables; vector parameters; Analysis of variance; Biological system modeling; Computational modeling; Estimation; Mathematical model; Planning; Probability; confidence region; generalized bootstrap variable; projection; vector parameter;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768434
Filename
5768434
Link To Document