Statistical Methods and Artificial Neural Networks

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Mammadov M., YAZICI B., Yolacan S., ASLANARGUN A., YÜZER A. F., Agaoglu E.

JOURNAL OF MODERN APPLIED STATISTICAL METHODS, vol.5, no.2, pp.495-512, 2006 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 2
  • Publication Date: 2006
  • Doi Number: 10.22237/jmasm/1162354980
  • Journal Name: JOURNAL OF MODERN APPLIED STATISTICAL METHODS
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.495-512
  • Keywords: Time series, ARIMA, neural networks, hybrid models, logistic and probit regression, rescheduling and non-rescheduling of the international debts, Kohonen nets, cluster analysis, Maastricht criteria
  • Anadolu University Affiliated: Yes

Abstract

Neural Networks and statistical methods are applied on real data sets for forecasting, classification, and clustering problems. Hybrid models for two components are examined on different data sets; tourist arrival forecasting to Turkey, macro-economic problem on rescheduling of the countries' international debts, and grouping twenty-five European Union member and four candidate countries according to macro-economic indicators.