The normalized interval regression model with outlier detection and its real-world application to house pricing problems

DOI10.1016/j.fss.2014.06.009zbMath1493.62455OpenAlexW2080921842WikidataQ57597775 ScholiaQ57597775MaRDI QIDQ1677114

Jing Li, Peijun Guo, Chao Wang

Publication date: 10 November 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2014.06.009

zbMATH Keywords

dual problemlinear programmingoutlier detectionduality approachrelaxation approachinterval linear regression model

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear programming (90C05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzziness, and linear inference and regression (62J86)

Related Items (6)

Interrelations among SMED stages: a causal model ⋮ Outlier detection in statistical modeling via multivariate adaptive regression splines ⋮ Partial possibilistic regression path modeling: handling uncertainty in path modeling ⋮ Possibilistic linear regression with fuzzy data: tolerance approach with prior information ⋮ Interval state estimation for uncertain polytopic systems ⋮ Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches

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