Σχολή Επιστημών και Τεχνολογίας της Πληροφορίας
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Η Σχολή Επιστημών και Τεχνολογίας της Πληροφορίας περιλαμβάνει τα Τμήματα: - Τμήμα Πληροφορικής - Τμήμα Στατιστικής
Περιήγηση
Πλοήγηση Σχολή Επιστημών και Τεχνολογίας της Πληροφορίας ανά Επιβλέπων "Athens University of Economics and Business, Department of Statistics"
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Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω
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Τεκμήριο Analysis of survival data: oral squamous cell carcinomas on the tongue(Athens University of Economics and Business, 03-2005) Costi, Eleni C.; Kostaki, A.; Athens University of Economics and Business, Department of StatisticsThesis - Athens University of Economic and Business.Postgraduate, Department of StatisticsΤεκμήριο Logistic regression: a standard method of analysis in medical research - an application to medical data(Athens University of Economics and Business, 11-2004) Sourla, Isabella; Kostaki, A.; Athens University of Economics and Business, Department of StatisticsThesis - Athens University of Economics and Business. Postgraduate, Department of StatisticsΤεκμήριο Maximum likelihood estimation for overdispersed binomial and multinomial data through an EM algorithmMitsopoulos, Georgios D.; Karlis, Dimitris; Athens University of Economics and Business, Department of StatisticsThe phenomenon of overdispersion is encountered very often when analyzing binomial/ multinomial data. Failure to take account of it may lead to inaccurate standard errors and misleading inference for the parameters of interest. A variety of models has been proposed to provide a solution to this problem,amongst of which are mixture models. The application of the latter, though,has been limited to a large extent by the complexity of the computations involved in fitting them. Hence, in the present thesis, logistic regression models based on beta-binomial and Dirichlet-multinomial distributions are presented, in order to fit overdispersed binomial and multinomial data,respectively. Interest is raised on the application of an Expectation-Maximization algorithm for finding maximum likelihood estimates, which proves to be a quite useful tool when trying to avoid computational difficulties that arise from applying these mixture models.Τεκμήριο An overview on automatic data editing(Athens University of Economics and Business, 09-2004) Mniestris, Nikolaos Ioakim; Dimaki, A.; Athens University of Economics and Business, Department of StatisticsThesis - Athens University of Economics and Business. Postgraduate, Departement of StatisticsΤεκμήριο Representation of stochastic integrals with respect to Levy random measures(Athens University of Economics and Business, 11-2002) Haralampopoulos, Anastastios A.; Zazanis, M.; Athens University of Economics and Business, Department of StatisticsThesis - Athens University of Economics and Business. Postgraduate, Department of Statistics