Cook Wade D

Wade D Cook

Information about the author Wade D Cook will soon be added to the site.
Found 8 papers in total
Best cooperative partner selection and input resource reallocation using DEA
Best cooperative partner selection and input resource reallocation using DEA
2016
Reallocation of input resources (RIR) is a process by which certain decision making...
Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage
Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage
2015
This paper investigates efficiency measurement in a two‐stage data envelopment...
Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures
Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures
2013
Data envelopment analysis (DEA) is a method for measuring the efficiency of peer...
Relative efficiency measurement: The problem of a missing output in a subset of decision making units
Relative efficiency measurement: The problem of a missing output in a subset of decision making units
2012
Data envelopment analysis (DEA), as originally proposed by viewed the efficiency...
Context-dependent performance standards in DEA
Context-dependent performance standards in DEA
2010
Data envelopment analysis (DEA) is a mathematical approach to measuring the relative...
DEA models for two-stage processes: Game approach and efficiency decomposition
DEA models for two-stage processes: Game approach and efficiency decomposition
2008
Data envelopment analysis (DEA) is a method for measuring the efficiency of peer...
A modified super-efficiency DEA model for infeasibility
A modified super-efficiency DEA model for infeasibility
2009
The super–efficiency data envelopment analysis (DEA) model is obtained when a...
The DEA Game Cross-Efficiency Model and Its Nash Equilibrium
The DEA Game Cross-Efficiency Model and Its Nash Equilibrium
2008
In this paper, we examine the cross–efficiency concept in data envelopment...
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