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

Malin Song () and Ron Fisher ()
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Malin Song: Anhui University of Finance and Economics
Ron Fisher: Griffith University

Computational Economics, 2018, vol. 52, issue 4, No 1, 1045-1052

Abstract: 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.

Keywords: Advanced statistical analysis; Theoretical method; Calculation method; Empirical research; Practical application; Environment (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10614-018-9832-7

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