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Concept of Observation Depth Measure in the Statistical Analysis of E-Commerce Data in Enterprises

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  • Małgorzata Kobylińska

    (Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Nauk Ekonomicznych)

Abstract

This article presents the application of selected methods based on the observation depth measure in statistical data analysis. The figures concerning e-commerce among the enterprises of the Polish provinces in 2010 and 2015 were used.

Suggested Citation

  • Małgorzata Kobylińska, 2018. "Concept of Observation Depth Measure in the Statistical Analysis of E-Commerce Data in Enterprises," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 49, pages 515-526.
    • Handle: RePEc:sgh:annals:i:49:y:2018:p:515-526
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    References listed on IDEAS

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    1. Ruts, Ida & Rousseeuw, Peter J., 1996. "Computing depth contours of bivariate point clouds," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 153-168, November.
    2. Oja, Hannu, 1983. "Descriptive statistics for multivariate distributions," Statistics & Probability Letters, Elsevier, vol. 1(6), pages 327-332, October.
    3. Peter J. Rousseeuw & Ida Ruts, 1996. "Bivariate Location Depth," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(4), pages 516-526, December.
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