Off the beaten track: a new linear model for interval data
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Publication:1751756
DOI10.1016/j.ejor.2016.09.006zbMath1395.62199OpenAlexW2519923343WikidataQ57675528 ScholiaQ57675528MaRDI QIDQ1751756
Publication date: 25 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://repositorio.inesctec.pt/handle/123456789/4702
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05)
Related Items
A clusterwise nonlinear regression algorithm for interval-valued data ⋮ Outlier detection in interval data ⋮ Model averaging for interval-valued data ⋮ Visualization for Interval Data ⋮ Robust regression for interval-valued data based on midpoints and log-ranges ⋮ New models for symbolic data analysis ⋮ M-LDQ feature embedding and regression modeling for distribution-valued data ⋮ An exponential-type kernel robust regression model for interval-valued variables ⋮ A Bayesian parametrized method for interval-valued regression models ⋮ Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes ⋮ Discriminant analysis of distributional data via fractional programming ⋮ Clustering of interval time series ⋮ Association measures for interval variables
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