A computationally efficient procedure for data envelopment.
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Harrisburg University’s PhD in data science is a 4-5 year program, the first 2 of which make up the Harrisburg master’s in analytics. Beyond this, PhD candidates complete six milestones to obtain the degree, including 18 semester hours in doctoral-level courses, such as multivariate data analysis, graph theory, machine learning. Following the completion of ANLY 760 Doctoral Research.
Ellelly, NNAM 2019, Integrating data envelopment analysis and balanced scorecard for improving organizations’ performance assessment, PhD thesis, University of Salford. PDF Restricted to Repository staff only until 7 June 2021.
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In this thesis we study some critical problems in the area of Data Envelopment Analysis (DEA) within the unifying framework of polyhedral characteristics of the production possibility sets and efficiency frontiers of important DEA models. Recent developments in DEA have made it possible to identify the efficient frontier explicitly. This thesis builds on these developments to make the.
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