By the same authors

An exact algorithm for likelihood-based imprecise regression in the case of simple linear regression with interval data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published copy (DOI)



Publication details

Title of host publicationAdvances in Intelligent Systems and Computing
DatePublished - 1 Jan 2013
Number of pages9
Volume190 AISC
Original languageEnglish

Publication series

NameAdvances in Intelligent Systems and Computing
Volume190 AISC
ISSN (Print)21945357


Likelihood-based Imprecise Regression (LIR) is a recently introduced approach to regression with imprecise data. Here we consider a robust regression method derived from the general LIR approach and we establish an exact algorithm to determine the set-valued result of the LIR analysis in the special case of simple linear regression with interval data.

    Research areas

  • Interval data, likelihood inference, robust regression

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