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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Main Author: | |
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Contributors: | |
Format: | Doctoral Thesis |
Language: | English |
Published: |
Philipps-Universität Marburg
2014
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Subjects: | |
Online Access: | PDF Full Text |
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Internet
PDF Full TextCall Number: |
urn:nbn:de:hebis:04-z2014-01176 |
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Publication Date: |
2014-03-18 |
Date of Acceptance: |
2014-02-28 |
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https://rightsstatements.org/vocab/InC-NC/1.0/ |
Access URL: |
https://archiv.ub.uni-marburg.de/diss/z2014/0117 https://doi.org/10.17192/z2014.0117 |