dc.contributor.advisor | Sperlich, Stefan Prof. Dr. | de |
dc.contributor.author | Ohinata, Ren | de |
dc.date.accessioned | 2012-12-07T16:03:56Z | de |
dc.date.accessioned | 2013-01-18T13:53:50Z | de |
dc.date.available | 2013-01-30T23:51:07Z | de |
dc.date.issued | 2012-12-07 | de |
dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-000D-F0A2-0 | de |
dc.identifier.uri | http://dx.doi.org/10.53846/goediss-3020 | |
dc.format.mimetype | application/pdf | de |
dc.language.iso | eng | de |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | de |
dc.title | Three Essays on Application of Semiparametric Regression: Partially Linear Mixed Effects Model and Index Model | de |
dc.type | doctoralThesis | de |
dc.title.translated | Drei Aufsätze über Anwendung der Semiparametrischen Regression: Teilweise Lineares Gemischtes Modell und Index Modell | de |
dc.contributor.referee | Sperlich, Stefan Prof. Dr. | de |
dc.date.examination | 2012-05-03 | de |
dc.subject.dnb | 310 Statistik | de |
dc.subject.gok | EGCG 080 | de |
dc.subject.gok | EGCH 250 | de |
dc.subject.gok | EGCP 200 | de |
dc.subject.gok | LCB 011 | de |
dc.subject.gok | LCB 020 | de |
dc.description.abstracteng | The dissertation consists of three essays.
The main focus is set on semiparametric regression modeling, which
embodies the strength of parametric and nonparametric regression
models in terms of flexibility, dimensionality and
interpretability. The first essay is “Some Recent Advances in
Modeling with Mixed Effects for Small Areas, Multi-level and Panel
Models | de |
dc.contributor.coReferee | Klasen, Stephan Prof. Dr. | de |
dc.contributor.thirdReferee | Kneib, Thomas Prof. Dr. | de |
dc.subject.topic | Economics | de |
dc.subject.ger | Semiparametrisches Modell | de |
dc.subject.ger | Kernregression | de |
dc.subject.ger | Index Modell | de |
dc.subject.ger | Gemischtes Modell | de |
dc.subject.ger | Paneldaten | de |
dc.subject.ger | Kreuzvalidierung | de |
dc.subject.ger | Wild Bootstrap | de |
dc.subject.ger | Bandweitenwahl | de |
dc.subject.ger | Dimensionsreduktion | de |
dc.subject.ger | Hauptkomponenten | de |
dc.subject.ger | Wohlfahrtsindikator | de |
dc.subject.eng | Semiparametric model | de |
dc.subject.eng | Kernel regression | de |
dc.subject.eng | Index model | de |
dc.subject.eng | Mixed model | de |
dc.subject.eng | Panel data | de |
dc.subject.eng | Cross validation | de |
dc.subject.eng | Wild bootstrap | de |
dc.subject.eng | Bandwidth selection | de |
dc.subject.eng | Dimension reduction | de |
dc.subject.eng | Principal components | de |
dc.subject.eng | Welfare indicator | de |
dc.subject.bk | 31.73 | de |
dc.subject.bk | 83.03 | de |
dc.identifier.urn | urn:nbn:de:gbv:7-webdoc-3831-5 | de |
dc.identifier.purl | webdoc-3831 | de |
dc.affiliation.institute | Wirtschaftswissenschaftliche Fakultät | de |
dc.identifier.ppn | 737899271 | de |