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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Glavni autor: | |
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Daljnji autori: | |
Format: | Dissertation |
Jezik: | engleski |
Izdano: |
Philipps-Universität Marburg
2014
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Teme: | |
Online pristup: | PDF cijeli tekst |
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Internet
PDF cijeli tekstSignatura: |
urn:nbn:de:hebis:04-z2014-01176 |
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Datum izdanja: |
2014-03-18 |
Datum der Annahme: |
2014-02-28 |
Downloads: |
35 (2024), 57 (2023), 64 (2022), 85 (2021), 57 (2020), 104 (2019), 56 (2018) |
Lizenz: |
https://rightsstatements.org/vocab/InC-NC/1.0/ |
URL pristupa: |
https://archiv.ub.uni-marburg.de/diss/z2014/0117 https://doi.org/10.17192/z2014.0117 |