Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ned, Freed"'
This text is an unbound, binder-ready edition. Written in a conversational tone, Freed, Understanding Business Statistics presents topics in a systematic and organized manner to help students navigate the material. Demonstration problems appear along
Autor:
Ned Freed, Fred Glover
Publikováno v:
Decision Sciences. 17:151-162
The two-group discriminant problem has applications in many areas, for example, differentiating between good credit risks and poor ones, between promising new firms and those likely to fail, or between patients with strong prospects for recovery and
Autor:
Ned Freed, Fred Glover
Publikováno v:
European Journal of Operational Research. 7:44-60
Conventional statistical analysis includes the capacity to systematically assign individuals to groups. We suggest alternative assignment procedures, utilizing a set of interrelated goal programming formulations. We further demonstrate via simple ill
Autor:
Ned Freed, Fred Glover
Publikováno v:
Decision Sciences. 17:589-595
In certain settings, difficulties arise that limit the effectiveness of LP formulations for the discriminant problem. Explanations and possible remedies have been offered, but these have had only limited success. We provide a simple way to overcome t
Autor:
Ned Freed, Fred Glover
Publikováno v:
Decision Sciences. 13:172-175
Autor:
Ned Freed, Fred Glover
Publikováno v:
Decision Sciences. 12:68-74
We propose an alternative solution to the discriminant problem, one that requires little more than a minimum familiarity with linear programming. The approach shows promise for eliminating the complexities of conventional statistical approaches witho
Autor:
Fred Glover, Ned Freed
Publikováno v:
Communications in Statistics - Simulation and Computation. 12:595-607
A mixed-integer programing formulation for clustering is proposed, one that encompasses a wider range of objectives--and side conditions--than standard clustering approaches. The flexibility of the formulation is demonstrated in diagrams of sample pr