Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6062
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dc.contributor.authorVAN KEILEGOM, Ingrid-
dc.contributor.authorAkritas, Michael Georgiou-
dc.date.accessioned2007-12-20T16:04:35Z-
dc.date.available2007-12-20T16:04:35Z-
dc.date.issued2000-
dc.identifier.citationAsymptotics in statistics and probability. p. 379-391-
dc.identifier.urihttp://hdl.handle.net/1942/6062-
dc.language.isoen-
dc.publishers.l. VSP 2000-
dc.titleThe least squares method in heteroscedastic regression models-
dc.typeJournal Contribution-
dc.identifier.epage391-
dc.identifier.spage379-
local.bibliographicCitation.jcatA2-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA2-
item.accessRightsClosed Access-
item.contributorVAN KEILEGOM, Ingrid-
item.contributorAkritas, Michael Georgiou-
item.fullcitationVAN KEILEGOM, Ingrid & Akritas, Michael Georgiou (2000) The least squares method in heteroscedastic regression models. In: Asymptotics in statistics and probability. p. 379-391.-
item.fulltextNo Fulltext-
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