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
AbstractTesting 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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Bibliographic InfoArticle provided by Elsevier in its journal Economic Modelling.
Volume (Year): 29 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/inca/30411
Bootstrap; Edgeworth expansion; Testing hypotheses; Variance; Data set;
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- 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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