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dc.contributor.authorChown, Justin-
dc.date.accessioned2016-10-14T10:22:43Z-
dc.date.available2016-10-14T10:22:43Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/2003/35285-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17328-
dc.description.abstractWe propose a residual-based empirical distribution function to estimate the distribution function of the errors of a heteroskedastic nonparametric regression with responses missing at random based on completely observed data, and we show this estimator is asymptotically most precise.en
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;51, 2016en
dc.subjectheteroskedasticen
dc.subjectempirical distribution functionen
dc.subjectefficient estimatoren
dc.subjecttransfer principleen
dc.subjectlocal polynomial smootheren
dc.subjectnonparametric regressionen
dc.subject.ddc310-
dc.subject.ddc330-
dc.subject.ddc620-
dc.titleEfficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing dataen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dc.subject.rswkFehlerabschätzungde
dc.subject.rswkHeteroskedastizitätde
dc.subject.rswkNichtparametrische Regressionde
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 823

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