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...
Kaydedildi:
Yazar: | |
---|---|
Diğer Yazarlar: | |
Materyal Türü: | Dissertation |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Philipps-Universität Marburg
2014
|
Konular: | |
Online Erişim: | PDF Tam Metin |
Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
Internet
PDF Tam MetinYer Numarası: |
urn:nbn:de:hebis:04-z2014-01176 |
---|---|
Yayın Tarihi: |
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/ |
Erişim Adresi URL: |
https://archiv.ub.uni-marburg.de/diss/z2014/0117 https://doi.org/10.17192/z2014.0117 |