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- W2127842468 abstract "Data Envelopment Analysis is a nonparametric tool for measuring the performance of a number of homogenous Decision Making Units. In this paper, Principal Component Analysis is used as an alternative tool to estimate the frontier in a Data Envelopment Analysis under the assumption of Constant Return to Scale. Apart from this, in the context of a multiple inputs and single output, a transformation function, is developed here using the Most Productive Scale Size condition stated by Starrett. This function complies with all postulates of a frontier function and is very similar to the formula given by Aigner and Chu. Moreover, it is capable of defining the threshold value for any resource." @default.
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- W2127842468 date "2013-01-01" @default.
- W2127842468 modified "2023-09-25" @default.
- W2127842468 title "Prediction of A CRS Frontier Function and A Transformation Function for A CCR DEA Using EMBEDED PCA" @default.
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- W2127842468 doi "https://doi.org/10.5899/2013/dea-00016" @default.
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