@misc{Hryniewicz_Olgierd_(1948–_)_On_2012,
 author={Hryniewicz, Olgierd (1948– ) and Opara, Karol},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2012},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={This paper provides a comprehensive analysis of computational problems concerning calculation of Kendall’s τ dependence measure for interval data. Exact algorithms solving this task have unacceptable com­putational complexity for larger samples, therefore the focus is on computational problems arising in approximate algorithms. In particular, a set of heuristic solutions was proposed to find minimal and maximal value of Kendall’s τ for interval data. Extensive simulation experiments show that some of the heuristics yield very good starting points for optimization procedures based on random generation of linear extensions or evolutionary and direct-search algorithms.},
 title={On computational problems in the analysis of statistical dependence for imprecise data},
 type={Text},
 URL={http://www.rcin.org.pl/Content/109176/PDF/RB-2012-13.pdf},
 keywords={Dane przedziałowe, Interval data, Measures of dependence, Miary zależności},
}