A recursive algorithm for volume-based sensitivity analysis of linear decision models

Rudolf Vetschera

No 279, Discussion Papers, Series I from University of Konstanz, Department of Economics

Abstract: One problem impeding the use of linear decision models in practical applications is the difficulty in precisely specifying weights. In this paper, we analyze an approach to establish the stability of a decision, given approximate information on weights. This approach is based on comparing the volumes of regions in weight space, in which different alternatives are optimal. To compute those volumes, a recursive algorithm was developed. The efficiency of that algorithm is analyzed both analytically and via computational experiments.

Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/68933/1/686695739.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:kondp1:279

Access Statistics for this paper

More papers in Discussion Papers, Series I from University of Konstanz, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().