This paper presents a class of utility functions (class A_\infty) that contains all of the utility functions commonly used for mathematical modeling: the class consisting of those utility functions whose derivatives alternate in sign. A simple representation via mixtures of exponential utilities...

This paper presents an analytical approach, based on rank statistics, to the issue of comparing programs within Data Envelopment Analysis (DEA) efficiency evaluation framework. The program evaluation procedure distinguishes between managerial and programmatic inefficiency and uses the...

This paper considers choice between individual projects and shows that when the choice set includes arbitrary distributions, then any assumed relationship between expected utility theory and general moment preferences for individual decision makers is theoretically unsound. In particular, a risk...

We present a framework, decision models, and supporting methods to improve government's decisions on a class of intervention problems. The example used is on natural gas shortages. We provide three decision models that move progressively from regulated market mechanisms as a means of gas...

Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some...

Remarks on graduate education in management sciences reflecting opinions at the Carnegie-Mellon University.