Bayesian analysis in the L 1-norm of the mixing proportion using discriminant analysis

dc.contributor.author	Pham-Gia T.	en
dc.contributor.author	Turkkan N.	en
dc.contributor.author	Bekker A.	en
dc.date.accessioned	2012-11-01T16:31:33Z
dc.date.available	2012-11-01T16:31:33Z
dc.date.issued	2006	en
dc.identifier.citation	Metrika	en
dc.identifier.citation	64	en
dc.identifier.citation	1	en
dc.identifier.issn	261335	en
dc.identifier.other	10.1007/s00184-006-0027-1	en
dc.identifier.uri	http://hdl.handle.net/10500/7324
dc.description.abstract	We consider the mixing proportion π in a mixture of two independent distributions, and establish the expression of its posterior density, in closed form and in terms of L 1-norms of various related functions, using a prior beta and the optimal classification rule for the two populations provided by Discriminant analysis. A numerical example fully illustrates the concepts presented.	en
dc.language.iso	en	en
dc.subject	Beta distribution; Discriminant analysis; Highest posterior density; Hypergeometric functions; L1-distance; Misclassification; Overlapping coefficient	en
dc.title	Bayesian analysis in the L 1-norm of the mixing proportion using discriminant analysis	en
dc.type	Article	en