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Details for article 10 of 10 found articles
| Title: |
Obtaining least absolute value estimates for a two-way classification model |
| Author: |
Armstrong, Ronald D. Elam, Joyce J. Hultz, John W. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 6 (1977) nr. 4 pages 365-381 |
| Year: |
1977 |
| Contents: |
The importance of the two-way classification model is well known, but the standard method of analysis is least squares. Often, the data of the model calls for a more robust estimation technique. This paper demonstrates the equivalence between the problem of obtaining least absolute value estimates for the two-way classification model and a capacitated transportation problem. A special purpose primal algorithm is developed to provide the least absolute value estimates. A computational comparison is made between an implementation of this specialized algorithm and a standard capacitated transportation code. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 10 of 10 found articles
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