Nonparametric estimation in models for unobservable heterogeneity

Doctoral thesis English OPEN
Hohmann, Daniel;
(2014)
  • Publisher: Philipps-Universität Marburg, Fachbereich Mathematik und Informatik
  • Subject: efficient estimation ; mixture model ; asymptotische Normalität ; nonparametric estimation ; Nichtparametrische Schätzung ; Radon transform ; Radon-Transformation ; limited-angle-Problem ; random-coefficient-Modell ; Radontransformation ; Mischung <Mathematik> ; asymptotic normality ; Mischungsmodell ; limited angle problem ; random coefficient model ; nichtparametrisches Schätzen ; 2013 | Mathematics -- Mathematik -- Estimation -- Asymptotic properties
    • ddc: ddc:510

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 es... View more
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