|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 34 of 37 found articles
| Title: |
The mad estimator: when is it non-linear? applications to two-way design models |
| Author: |
Buckley, J.J. Kvanli, A. H. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 10 (1981) nr. 24 pages 2581-2590 |
| Year: |
1981 |
| Contents: |
The mean absolute deviation (MAD) estimator has recently received a great deal of attention as applied to full-rank linear regression models. This paper provides a necessary and sufficient condition for the MAD estimator to be a non-linear estimator, in which case conditions for the variance of the MAD estimator to be larger or smaller than those for OLS are, in general, unknown. The non-linearity of the MAD estimator is examined for several two-way designs; in particular (1) randomized block design (2) two-way nested design (3) two-way classification with interaction and (4) partially balanced incomplete block design |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 34 of 37 found articles
| << previous | next >> |