Nonparametric estimation in models for unobservable heterogeneity

Nonparametric estimation in models for unobservable heterogeneity

Nonparametric models which allow for data with unobservable heterogeneity are studied. The first publication introduces new estimators and their asymptotic properties for conditional mixture models. The second publication considers estimation of a function from noisy observations of its Radon transf...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Hohmann, Daniel
Awduron Eraill: Holzmann, Hajo (Prof. Dr.) (Cynghorydd traethodau ymchwil)
Fformat: Dissertation
Iaith:Saesneg
Cyhoeddwyd: Philipps-Universität Marburg 2014
Pynciau:
Radontransformation
limited-angle-Problem
Asymptotic properties
asymptotische Normalität
Mischung <Mathematik>
mixture model
random-coefficient-Modell
Estimation
asymptotic normality
Mischungsmodell
Radon transform
limited angle problem
nichtparametrisches Schätzen
efficient estimation
Mathematik
random coefficient model
Radon-Transformation
Nichtparametrische Schätzung
nonparametric estimation
Mathematics
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Manylion daliadau o
Rhif Galw: urn:nbn:de:hebis:04-z2014-01176
Dyddiad Cyhoeddi: 2014-03-18
Datum der Annahme: 2014-02-28
Downloads: 36 (2024), 57 (2023), 64 (2022), 85 (2021), 57 (2020), 104 (2019), 56 (2018)
Lizenz: https://rightsstatements.org/vocab/InC-NC/1.0/
URL mynediad: https://archiv.ub.uni-marburg.de/diss/z2014/0117
https://doi.org/10.17192/z2014.0117

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