Modeling Data Irregularities And Structural Complexities In Data Envelopment Analysis

Zhu,J., Cook,W.D.

ISBN 10: 0387716068 / ISBN 13: 9780387716060

Edité par Springer, 2007

A propos de cet article

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

N° de réf. du vendeur ABNR-1892

Détails bibliographiques

• Titre: Modeling Data Irregularities And Structural Complexities In Data Envelopment Analysis
• Éditeur: Springer
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 0387716068
• ISBN à 13 chiffres: 9780387716060
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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. This book deals with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex "service industry" and the "public service domain" types of problems that require modeling of both qualitative and quantitative data. This handbook treatment deals with specific data problems including: imprecise or inaccurate data; missing data; qualitative data; outliers; undesirable outputs; quality data; statistical analysis; software and other data aspects of modeling complex DEA problems. In addition, the book will demonstrate how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately.