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dc.contributor.authorJeong, Seok-Ohen
dc.contributor.authorPark, Byeong U.en
dc.date.accessioned2009-01-29T14:54:26Z-
dc.date.available2009-01-29T14:54:26Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10419/22212-
dc.description.abstractGiven n independent and identically distributed observations in a set G with an unknown function g, called a boundary or frontier, it is desired to estimate g from the observations. The problem has several important applications including classification and cluster analysis, and is closely related to edge estimation in image reconstruction. It is particularly important in econometrics. The convex-hull estimator of a boundary or frontier is very popular in econometrics, where it is a cornerstone of a method known as `data envelope analysis´ or DEA. In this paper we give a large sample approximation of the distribution of the convex-hull estimator in the general case where p>=1. We discuss ways of using the large sample approximation to correct the bias of the convex-hull and the DEA estimators and to construct confidence intervals for the true function.en
dc.language.isoengen
dc.publisher|aHumboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE) |cBerlinen
dc.relation.ispartofseries|aPapers |x2004,39en
dc.subject.ddc330en
dc.subject.keywordConvex-hullen
dc.subject.keywordfree disposal hullen
dc.subject.keywordfrontier functionen
dc.subject.keyworddata envelope analysisen
dc.subject.keywordproductivity analysisen
dc.subject.keywordrate of convergenceen
dc.titleLimit Distribution of Convex-Hull Estimators of Boundaries-
dc.typeWorking Paperen
dc.identifier.ppn49530882Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:caseps:200439en

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