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Evaluation of the Fourth Millennium Development Goal Realisation using Robust and Nonparametric Tools offered by a Data Depth Concept

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  • Kosiorowska Ewa

    (General Practitioner, Internist Katowice, Poland)

  • Kosiorowski Daniel

    (Cracow University of Economics Department of Statistics Rakowicka 27, 31-510 Cracow, Poland)

  • Zawadzki Zygmunt

    (Cracow University of Economics Master Studies Rakowicka 27, 31-510 Cracow, Poland)

Abstract

We briefly communicate the results of nonparametric and robust evaluation of the effects of the Fourth Millennium Development Goal of the United Nations. The main aim of the goal was reducing by two thirds, from 1990-2015, under five month’s child mortality. Our novel analysis was conducted by means of very powerful and user friendly tools offered by the Data Depth Concept being a collection of multivariate techniques basing on multivariate generalizations of quintiles, ranges and order statistics. The results of our analysis are more convincing than the results obtained using classical statistical tools.

Suggested Citation

  • Kosiorowska Ewa & Kosiorowski Daniel & Zawadzki Zygmunt, 2015. "Evaluation of the Fourth Millennium Development Goal Realisation using Robust and Nonparametric Tools offered by a Data Depth Concept," Folia Oeconomica Stetinensia, Sciendo, vol. 15(1), pages 34-52, June.
  • Handle: RePEc:vrs:foeste:v:15:y:2015:i:1:p:34-52:n:3
    DOI: 10.1515/foli-2015-0021
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    References listed on IDEAS

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    1. Davy Paindaveine & Germain Van bever, 2013. "From Depth to Local Depth: A Focus on Centrality," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1105-1119, September.
    2. M. Stone, 2002. "How not to measure the efficiency of public services (and how one might)," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 405-434, October.
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