Name
Abstract | ||
|---|---|---|
One measure of the effectiveness of institutional trauma and burn management based on collected patient data involves the computation of a standard normal Z statistic. A potential weakness of the measure arises from incomplete patient data. In this paper, we apply methods of fractional programming and global optimization to efficiently calculate bounds on the computed effectiveness of an institution. The measure of effectiveness (i.e., the trauma outcome function) is briefly described, the optimization problems associated with its upper and lower bounds are defined and characterized, and appropriate solution procedures are developed. We solve an example problem to illustrate the method. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1287/opre.40.1.S86 | Operations Research |
Field | DocType | Volume |
Mathematical optimization,Global optimization,Statistic,Upper and lower bounds,Standard normal table,Accident prevention,Optimization problem,Fractional programming,Mathematics,Computation | Journal | 40 |
Issue | ISSN | Citations |
S1 | 0030-364X | 1 |
PageRank | References | Authors |
0.84 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James E. Falk | 1 | 297 | 68.47 |
| Susan W. Palocsay | 2 | 53 | 6.92 |
| William J. Sacco | 3 | 1 | 1.17 |
| Wayne S. Copes | 4 | 1 | 1.17 |
| Howard R. Champion | 5 | 7 | 4.16 |