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title:
 
Least Alsolute Deviation Estimators for Interval Regression
publication:
 
JCIS-2006 Proceedings
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-01-7
ISSN:
  1951-6851
DOI:
  doi:10.2991/jcis.2006.274 (how to use a DOI)
author(s):
 
Seunghoe Choi, James. J. Buckley
corresponding author:
 
Seunghoe Choi
publication date:
 
October 2006
keywords:
 
Interval Regression Model, Least Alsolute Deviation Estimators
abstract:
 
This paper introduces the least absolute deviation estimators to construct an interval regression model, having interval output and crisp input data when the data contains interval outliers.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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