Name
Abstract | ||
|---|---|---|
The goal of this paper is two-fold. First, new regression models obtained by combinations of the least squares (LS), minimax (MM), and the least sum of absolute deviations (LSAD) are proposed. Second, measures for assessing the influence of observations on the fitted models are suggested. The paper is interdisciplinary because the theory behind the proposed method draws from results in the operations research area. The methods are illustrated by their application to some examples and graphical illustrations are given. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s00180-007-0105-5 | Computational Statistics |
Keywords | DocType | Volume |
duality · dual variables · least absolute value · least squares · local influence · mathematical programming · minimax · optimization problems,graphical illustration,Combined regression model,absolute deviation,new regression model,fitted model,operations research area,proposed method | Journal | 24 |
Issue | ISSN | Citations |
1 | 1613-9658 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrique Castillo | 1 | 555 | 59.86 |
| Carmen Castillo | 2 | 57 | 7.43 |
| Ali S. Hadi | 3 | 140 | 15.04 |
| José M. Sarabia | 4 | 12 | 1.24 |