Yılmaz, Anıl2016-01-082016-01-081995http://hdl.handle.net/11693/18399Ankara : The Department of Economics and the Institute of Economics and Social Sciences of Bilkent University, 1995.Thesis(Master's) -- Bilkent University, 1995.Includes bibliographical references leaves 75-77Economics 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.77 leavesEnglishinfo:eu-repo/semantics/openAccessNeural NetworksIdentifying DistributionsGoodness-of-fitHG4515.5 .Y45 1995Program trading (securities).Neural networks (computer science).Thesis