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2017 | 18 | 3 | 463-471

Article title

APPLICATION OF L-MOMENTS IN HOMOGENEITY EXAMINATION FOR GROUPS OF PRODUCTION COMPANIES DISTINGUISHED BY DEA

Content

Title variants

Languages of publication

EN

Abstracts

EN
In financial analysis rating systems can be applied to divide firms into homogeneous groups. One of these methods is provided by DEA. The method is based on the efficiency optimization for firms described by the set of financial indicators. An important issue is not only estimation of efficiency but also homogeneity of given groups. Within the Hosking-Wallis test one compares variability calculated with respect to L-moments with expected variability for homogeneous groups.The aim of our research was to apply the Hosking-Wallis test to investigate the homogeneity of DEA groups of companies. In the paper we present the results of our research for a set of Polish production companies listed on Warsaw Stock Exchange.

Keywords

Contributors

  • Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences – SGGW, Poland
  • Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences – SGGW, Poland

References

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  • Cooper W. W., SeifordL. M., Tone K. (2006) Introduction to Data Envelopment Analysis and Its Uses withDEA-Solver SoftwareandReferences. Springer, New York.
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  • Guzik B., (2009) Podstawowe modele DEA w badaniu efektywności gospodarczej i społecznej. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
  • Hosking J. R. M., Wallis J. R. (1997) RegionalFrequency Analysis. An Approach Based on L-Moments. Cambridge University Press.
  • HoskingJ. R. M. (1990) L-moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics. Journal of the Royal Statistical Society, Series B, 52,
  • 105-124.
  • HoskingJ. R. M. (1994) The Four-parameter Kappa Distribution. IBM Journal of Research and Development, 38(3), 251 – 258.
  • Kaczmarska B. (2010) The Data Envelopment Analysis Method in Benchmarking of Technological Incubators. Operations Research and Decisions, 20(1), 79-95.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-7e8132b9-3fb9-484c-b935-f19d2a6a0d22
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