A Central Limit Theorem for Certain Nonlinear Statistics in Repeated Sampling of a Finite Population

dc.contributor.author	Han, Chien-Pai	en
dc.contributor.author	Hawkins, D. L.	en
dc.date.accessioned	2010-06-08T17:48:20Z	en
dc.date.available	2010-06-08T17:48:20Z	en
dc.date.issued	1996	en
dc.identifier.uri	http://hdl.handle.net/10106/2396	en
dc.description.abstract	Please note that the full text is embargoed ABSTRACT: We prove a central limit theorem for the asymptotic joint distribution of non-linear statistics of the form [see pdf for notation] and linear statistics of the form [see pdf for notation], based on independent repeated samples of a finite population of size N with sample indicators [see pdf for notation] for the tth sample.	en
dc.language.iso	en_US	en
dc.publisher	University of Texas at Arlington	en
dc.relation.ispartofseries	Technical Report;312	en
dc.subject	Asymptotic distribution	en
dc.subject	Dual-system estimation	en
dc.subject	Capture-recapture	en
dc.subject.lcsh	Statistics	en
dc.subject.lcsh	Mathematics Research	en
dc.title	A Central Limit Theorem for Certain Nonlinear Statistics in Repeated Sampling of a Finite Population	en
dc.type	Technical Report	en
dc.publisher.department	Department of Mathematics	en