Combining diffusion models and macroeconomic indicators with a modified genetic programming method: implementation in forecasting the number of mobile telecommunications subscribers in OECD countries

DOI10.1155/2014/568478zbMath1291.90344OpenAlexW2087613295WikidataQ59047885 ScholiaQ59047885MaRDI QIDQ2248712

Konstantinos Salpasaranis, Vasilios Stylianakis, Stavros A. Kotsopoulos

Publication date: 27 June 2014

Published in: Advances in Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/568478

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Case-oriented studies in operations research (90B90)

Cites Work

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• A hybrid genetic programming method in optimization and forecasting: a case study of the broadband penetration in OECD countries
• A New Product Growth for Model Consumer Durables
• Technical Change and the Rate of Imitation
• Bayes Factors

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