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What is Multipliers

Encyclopedia of Business Analytics and Optimization
Weights v i on inputs and u k on outputs that need to be determined by solving the linear programming model CCR/AR or BCC/AR.
Published in Chapter:
Randomizing DEA Efficiency Scores with Beta Distribution
P. Sunil Dharmapala (College of Economics & Political Science, Sultan Qaboos University, Sultanate of Oman)
Copyright: © 2014 |Pages: 9
DOI: 10.4018/978-1-4666-5202-6.ch178
Abstract
A criticism leveled against Data Envelopment Analysis (DEA) is that it is incapable of handling input/output data contaminated with random errors, and therefore, efficiency scores reported by DEA do not reflect reality. Several researchers have addressed this issue by incorporating statistical noise into DEA modeling, thus giving birth to Stochastic DEA. In this chapter, utilizing well known DEA models, we propose a method to randomize efficiency scores by treating each score as an order statistic of an underlying Beta distribution. In an application to a set of banks, we demonstrate how to do this randomization and derive some statistical results.
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Nonlinear Efficiency in DEA Relative to “Ideal Reference”
Weights v i on inputs and u k on outputs that need to be determined by solving the respective programming model TT/LC-AR, CCR/AR or BCC/AR.
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Multiplier for DSP Application in CPS System
Is one of the key hardware blocks in most digital signal processing (DSP) systems. Power dissipation and delay are the primary design constraint which can be optimized by enhancing the performance of underlying multipliers.
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Design of Compensators for Comb Decimation Filters
Implementation of coefficients of filter transfer function which cannot be presented as a power of two.
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