Title:

On computational problems in the analysis of statistical dependence for imprecise data

Subtitle:

Raport Badawczy = Research Report ; RB/13/2012

Creator:

Hryniewicz, Olgierd (1948– ) ; Opara, Karol

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2012

Description:

40 pages ; 21 cm ; Bibliography p. 38-40

Subject and Keywords:

Dane przedziałowe ; Interval data ; Measures of dependence ; Miary zależności

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.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2012-13

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open