Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
Author:   Joe Zhu ,  Wade D. Cook
Publisher:   Springer-Verlag New York Inc.
Edition:   2007 ed.
ISBN:  

9780387716060


Pages:   334
Publication Date:   06 July 2007
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis


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Overview

DEA is computational at its core and this book will be one of several books that we will look to publish on the computational aspects of DEA. This book by Zhu and Cook will deal 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 both qualitative and quantitative data. This will be a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) 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.

Full Product Details

Author:   Joe Zhu ,  Wade D. Cook
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2007 ed.
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.450kg
ISBN:  

9780387716060


ISBN 10:   0387716068
Pages:   334
Publication Date:   06 July 2007
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

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.

Reviews

From the reviews: This book collects 17 articles that study data envelopment analysis (DEA) techniques. ... Those working with and already familiar with DEA methods may find the book more useful. (Robert Lund, Journal of the American Statistical Association, Vol. 103 (484), December 2008)


From the reviews: This book collects 17 articles that study data envelopment analysis (DEA) techniques. ! Those working with and already familiar with DEA methods may find the book more useful. (Robert Lund, Journal of the American Statistical Association, Vol. 103 (484), December 2008)


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