Identifying probability distributions using neural networks

Date

1995

Editor(s)

Advisor

Selçuk, Faruk

Supervisor

Co-Advisor

Co-Supervisor

Instructor

BUIR Usage Stats
3
views
18
downloads

Series

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.

Source Title

Publisher

Course

Other identifiers

Book Title

Degree Discipline

Economics

Degree Level

Master's

Degree Name

MA (Master of Arts)

Citation

Published Version (Please cite this version)

Language

English

Type