1. Benchmarking -- 2. An Introduction to Data Envelopment Analysis -- 3. Probability Theory -- 4. Stochastic Data Envelopment Analysis -- 5. Stochastic Network Data Envelopment Analysis -- 6. Stochastic Scale Elasticity.

Introduction to GAMS -- Introduction to Data Envelopment Analysis -- Extensions of DEA models -- Non-radial DEA models -- Allocative, cost, technical, revenue, and profit efficiency -- Special cases in DEA -- Productivity change -- Concluding remarks.

Data envelopment analysis (DEA), a non-parametric technique, has emerged as a popular management tool for measuring the performance of a set of entities, known as decision making units. This book, Data Envelopment Analysis and Its Applications to Management, is a collection of contributions from...