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...
Gorde:
Egile nagusia: | |
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Beste egile batzuk: | |
Formatua: | Dissertation |
Hizkuntza: | ingelesa |
Argitaratua: |
Philipps-Universität Marburg
2014
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Gaiak: | |
Sarrera elektronikoa: | PDF testu osoa |
Etiketak: |
Etiketa erantsi
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Internet
PDF testu osoaSailkapena: |
urn:nbn:de:hebis:04-z2014-01176 |
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Argitaratze data: |
2014-03-18 |
Datum der Annahme: |
2014-02-28 |
Downloads: |
40 (2024), 57 (2023), 64 (2022), 85 (2021), 57 (2020), 104 (2019), 56 (2018) |
Lizenz: |
https://rightsstatements.org/vocab/InC-NC/1.0/ |
URL sarbidea: |
https://archiv.ub.uni-marburg.de/diss/z2014/0117 https://doi.org/10.17192/z2014.0117 |