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EM-OLAP Framework

Author

Listed:
  • Jan Tyrychtr

    (Czech University of Life Sciencesin Prague)

  • Martin Pelikán

    (Czech University of Life Sciencesin Prague)

  • Hana Štiková

    (Czech University of Life Sciencesin Prague)

  • Ivan Vrana

    (Czech University of Life Sciencesin Prague)

Abstract

Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new TEM method and design an OLAP application for econometric analysis.

Suggested Citation

  • Jan Tyrychtr & Martin Pelikán & Hana Štiková & Ivan Vrana, 2018. "EM-OLAP Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 543-562, December.
    • Handle: RePEc:spr:binfse:v:60:y:2018:i:6:d:10.1007_s12599-018-0533-5
    DOI: 10.1007/s12599-018-0533-5
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    References listed on IDEAS

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    1. Jesus Felipe & F. Gerard Adams, 2005. ""A Theory of Production" The Estimation of the Cobb-Douglas Function: A Retrospective View," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 427-445, Summer.
    2. Brown, Jeff E. & Ethridge, Don E. & Hudson, Darren & Engels, Carlos, 1995. "An Automated Econometric Approach For Estimating And Reporting Daily Cotton Market Prices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    3. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
    4. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    5. Bernd Brandl & Christian Keber & Matthias Schuster, 2006. "An automated econometric decision support system: forecasts for foreign exchange trades," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 401-415, December.
    6. Tyrychtr, Jan & Vasilenko, Alexandr, 2015. "Transformation Econometric Model to Multidimensional Databases to Support the Analytical Systems in Agriculture," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(3), pages 1-7, September.
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