Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chown, Justin | - |
dc.date.accessioned | 2016-10-14T10:22:43Z | - |
dc.date.available | 2016-10-14T10:22:43Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://hdl.handle.net/2003/35285 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-17328 | - |
dc.description.abstract | We 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.iso | en | de |
dc.relation.ispartofseries | Discussion Paper / SFB823;51, 2016 | en |
dc.subject | heteroskedastic | en |
dc.subject | empirical distribution function | en |
dc.subject | efficient estimator | en |
dc.subject | transfer principle | en |
dc.subject | local polynomial smoother | en |
dc.subject | nonparametric regression | en |
dc.subject.ddc | 310 | - |
dc.subject.ddc | 330 | - |
dc.subject.ddc | 620 | - |
dc.title | Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data | en |
dc.type | Text | de |
dc.type.publicationtype | workingPaper | de |
dc.subject.rswk | Fehlerabschätzung | de |
dc.subject.rswk | Heteroskedastizität | de |
dc.subject.rswk | Nichtparametrische Regression | de |
dcterms.accessRights | open access | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 823 |
Files in This Item:
File | Description | Size | Format | |
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DP_5116_SFB823_Chown.pdf | DNB | 373.28 kB | Adobe PDF | View/Open |
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