E Rhodes

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.

TL;DR: A model for measuring the efficiency of Decision Making Units =DMU's is presented, along with related methods of implementation and interpretation, and suggests the additional possibility of new approaches obtained from PFT-NFT combinations which may be superior to either of them alone.

TL;DR: Data Envelopment Analysis (DEA) as mentioned in this paper is used to decompose the efficiency of decision making units (DMU's) into two parts: (1) a component resulting from managerial decisions and (2) a part resulting from constraints (called programs) under which management operates.

TL;DR: In this paper, a series of linear programming models are used to clarify and extend a measure of efficiency, and the duals to these models are shown to yield estimates of production coefficients from the same empirical data and computations that yield the measures of efficiency.