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How to Apply Advanced Statistical Analysis to Computational Economics: Methods and Insights

Author

Listed:
  • Malin Song

    (Anhui University of Finance and Economics)

  • Ron Fisher

    (Griffith University)

Abstract

The theme of this special volume concerns advanced statistical analysis. By mining meaningful and important information, advanced statistical analysis can bring new insights to many areas, such as the development of hospitals, the environment, biology, markets, industries, and general economic systems. The contribution of this special volume is to adopt an advanced parametric and nonparametric statistical approach for the exploration of environmental and health care issues in the context of computational economics. The authors have proposed varied methods of advanced statistical analysis combined with practical applications. In terms of theory, the authors suggest designs for advanced theoretical methods. With regard to the application of professional calculation methods to everyday life, the authors have offered useful guidance for future research. The authors have also conducted empirical research by using data from Chinese regions and analyzing specific conditions. In addition, they have conducted empirical analyses of particular issues such as those related to the environment. Although this special volume has provided some methods of advanced scientific analysis for existing problems, other techniques must be applied to everyday life in order to solve the severe difficulties that human beings face.

Suggested Citation

  • Malin Song & Ron Fisher, 2018. "How to Apply Advanced Statistical Analysis to Computational Economics: Methods and Insights," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1045-1052, December.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-018-9832-7
    DOI: 10.1007/s10614-018-9832-7
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    References listed on IDEAS

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    1. Lei Li & Wenting Liu & Lindi Xiao & Hui Sun & Shi Wang, 2018. "Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1069-1087, December.
    2. Deyou Chen & Lei Wang & Tao Su & Youtao Zhang, 2018. "Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1053-1068, December.
    3. Chang Liu & Boqiang Lin, 2018. "Evaluating Design of Increasing Block Tariffs for Residential Natural Gas in China: A Case Study of Henan Province," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1335-1351, December.
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