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Testing population variance in case of one sample and the difference of variances in case of two samples: Example of wage and pension data sets in Serbia

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  • Rajic, Vesna Cojbasic
  • Kocovic, Jelena
  • Loncar, Dragan
  • Antic, Tatjana Rakonjac
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    Abstract

    Testing one population variance and the difference in variances of two populations based on the ordinary t-statistics combined with the bootstrap method are suggested in this article. Suggested techniques are combined with Hall's transformation approach. Application of presented methods in domain of real economic data set is described and analyzed. We compare the outputs of suggested methods and traditional methods for considered data set. The results show that these introduced methods have small advantages in comparisons with traditional methods especially for small samples.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0264999312000077
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    Bibliographic Info

    Article provided by Elsevier in its journal Economic Modelling.

    Volume (Year): 29 (2012)
    Issue (Month): 3 ()
    Pages: 610-613

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    Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:610-613

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    Web page: http://www.elsevier.com/locate/inca/30411

    Related research

    Keywords: Bootstrap; Edgeworth expansion; Testing hypotheses; Variance; Data set;

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    1. Cojbasic, Vesna & Tomovic, Andrija, 2007. "Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5562-5578, August.
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