Least‐absolute‐value estimators for one‐way and two‐way tables

R. D. Armstrong and E. L. Frome

Naval Research Logistics Quarterly, 1979, vol. 26, issue 1, 79-96

Abstract: This paper concerns itself with the problem of estimating the parameters of one‐way and two‐way classification models by minimization of the sum of the absolute deviations of the regression function from the observed points. The one‐way model reduces to obtaining a set of medians from which optimal parameters can be obtained by simple arithmetic manipulations. The two‐way model is transformed into a specially structured linear programming problem, and two algorithms are presented to solve this problem. The occurrence of alternative optimal solutions in both models is discussed, and numerical examples are presented.

Date: 1979
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/nav.3800260109

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:navlog:v:26:y:1979:i:1:p:79-96

Access Statistics for this article

More articles in Naval Research Logistics Quarterly from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().