9th Joint International Conference on Information Sciences (JCIS-06)

Least Alsolute Deviation Estimators for Interval Regression

Authors
Seunghoe Choi 0, James. J. Buckley
Corresponding Author
Seunghoe Choi
0Korea Aviation University
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.274How to use a DOI?
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.274How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Seunghoe Choi
AU  - James. J. Buckley
PY  - 2006/10
DA  - 2006/10
TI  - Least Alsolute Deviation Estimators for Interval Regression
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.274
DO  - https://doi.org/10.2991/jcis.2006.274
ID  - Choi2006/10
ER  -