Identifying probability distributions using neural networks
Date
1995
Authors
Editor(s)
Advisor
Selçuk, Faruk
Supervisor
Co-Advisor
Co-Supervisor
Instructor
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Abstract
Economics deal with real life phenomena by constructing representative models o f the system being questioned. Input data provide the driving force for such models. The requirement o f identifying the underlying distributions of data sets is encountered in economics on numerous occasions. Most of the time, after the collection o f the raw data, the underlying statistical distribution is sought by the aid o f nonparametric statistical methods. At this step o f the problem, the feasibility of using neural networks for identification o f probability distributions is investigated. Also, for this purpose, a comparison with the traditional goodness o f fit tests is carried out in this study.
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Degree Discipline
Economics
Degree Level
Master's
Degree Name
MA (Master of Arts)
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Language
English