%0 Journal Article
%T Prediction of A CRS Frontier Function and A Transformation Function for A CCR DEA Using EMBEDED PCA
%A Subhadip Sarkar
%J Data Envelopment Analysis and Decision Science
%D 2013
%I International Scientific Publications and Consulting Services (ISPACS)
%R 10.5899/2013/dea-00016
%X 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.
%K "">Data Envelopment Analysis
%K Principal Component Analysis
%K Non- Linear Programing Production Function
%K Frontier Function"/>
%U http://www.ispacs.com/journals/dea/2013/dea-00016/article.pdf