Title :
A new class of asymptotically valid confidence regions confidence regions
Author_Institution :
Sci. Sch., Beijing Univ. of Civil Eng. & Archit., Beijing, China
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768434