Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhu, Joe (Επιμελητής έκδοσης), Cook, Wade D. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2007.
• Θέματα: Business.; Management science.; Operations research.; Decision making.; Mathematical optimization.; Econometrics.; Public finance.; Business and Management.; Operation Research/Decision Theory.; Optimization.; Public Economics.; Business and Management, general.; Operations Research, Management Science.

In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a whole variety of problems in many different contexts worldwide. The analysis of an array of th...

Πίνακας περιεχομένων:

• Data Irregularities And Structural Complexities In Dea
• Rank Order Data In Dea
• Interval And Ordinal Data
• Variables With Negative Values In Dea
• Non-Discretionary Inputs
• DEA with Undesirable Factors
• European Nitrate Pollution Regulation and French Pig Farms’ Performance
• PCA-DEA
• Mining Nonparametric Frontiers
• DEA Presented Graphically Using Multi-Dimensional Scaling
• DEA Models For Supply Chain or Multi-Stage Structure
• Network DEA
• Context-Dependent Data Envelopment Analysis and its Use
• Flexible Measures–Classifying Inputs and Outputs
• Integer Dea Models
• Data Envelopment Analysis With Missing Data
• Preparing Your Data for DEA.