An additive model approach for estimating returns to scale in stochastic Data Envelopment Analysis

In this paper, additive model with stochastic data is used to provide an alternative approach for estimating returns to scale in data envelopment analysis (DEA). Classic data envelopment analysis models with deterministic data have been used by many authors to measure returns to scale (RTS). However, data envelopment analysis with stochastic data are, rarely used to measure returns to scale