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William W. Cooper
Researcher at University of Texas at Austin
Publications - 254
Citations - 82692
William W. Cooper is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Data envelopment analysis & Linear programming. The author has an hindex of 79, co-authored 254 publications receiving 76641 citations. Previous affiliations of William W. Cooper include Harvard University & Carnegie Mellon University.
Papers
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Data envelopment analysis and regression approaches to efficiency estimation and evaluation
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Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis
TL;DR: This paper replaces ordinary DEA formulations with stochastic counterparts in the form of a series of chance constrained programming models, with emphasis on technical efficiencies and inefficiencies which do not require costs or prices.
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Classifying and characterizing efficiencies and inefficiencies in data development analysis
TL;DR: In this article, an overall measure of efficiency is also obtained for each DMU from the observed values of its multiple inputs and outputs without requiring uses of a priori weights using parametric forms relating inputs to outputs.
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Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances
TL;DR: In this paper, Cone Ratio DEA (Data Envelopment Analysis) models are suggested for monitoring and/or early warning systems to be used by bank regulatory agencies. Illustrative examples are developed from data on 1984 and 1985 performances of the 16 largest banks in Texas.
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Invariant multiplicative efficiency and piecewise cobb-douglas envelopments
TL;DR: In this paper, a new multiplicative efficiency formulation is developed wherein the efficiency values are invariant under changes in the units of measurement of outputs and inputs, and it is shown that the associated Data Envelopment Analysis (DEA) implies that optimal envelopments are of piecewise Cobb-Douglas type.