3 edition of Data envelopment analysis found in the catalog.
Data envelopment analysis
Includes bibliographical references (p. -258) and index.
|Statement||Michael Norman and Barry Stoker.|
|LC Classifications||HD56.25 .N67 1991|
|The Physical Object|
|Pagination||xvi, 262 p. :|
|Number of Pages||262|
|LC Control Number||90028497|
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Data Envelopment Analysis book. Read reviews from world’s largest community for readers. In a relatively short period of time Data Envelopment Analysis (/5(10). This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA).
It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational.
This open textbook is meant to introduce the technique of DEA and also how to conduct the analysis using the analytics platform, R. The R language has become very popular in the area of analytics. Many books on DEA assume that people can implement the linear programs for analysis.
This book both explains DEA and how to do the analysis using free, open source tools (R and free R packages for Author: Timothy Anderson. Using the neo-classical theory of production economics Data envelopment analysis book the analytical framework, this book, first published Data envelopment analysis bookprovides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different : Subhash Data envelopment analysis book.
Ray. Data Envelopment Analysis. Data envelopment analysis (DEA) is a typical nonparametric method that measures relative efficiency by comparing it with the possible production frontiers of decision-making units (DMUs) with multiple inputs and outputs using linear programming (Farrell, ).
From: The Strategies of China's Firms, Related terms. This book represents a milestone in the progression of Data Envelop ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models.
The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex tensions. In addition, this is the first book that addresses the Reviews: 1.
DATA ENVELOPMENT ANALYSIS: A Comprehensive Text with Models, Applications, References, And DEA-Solver Software, 2nd Edition is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts.
Each chapter accompanies its developments with simple numerical examples and. Khalili-Damghani K, Tavana M and Haji-Saami E () A data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment, Expert Systems with Applications: An International Journal,(), Online publication date: 1-Feb Data envelopment analysis (DEA), originally developed by Charnes A, et al.
(), is Data envelopment analysis book linear programming methodology for evaluating the relative technical efficiency for each member of a set of peer decision making Data envelopment analysis book (DMUs) with multiple inputs and multiple outputs. It has been widely used to measure performance in many areas.
Cook W and Zhu J () Multiple Variable Proportionality in Data Envelopment Analysis, Operations Research,(), Online publication date: 1-Jul Zheng Z, Data envelopment analysis book B and Zheng H A DEA approach for model combination Proceedings of Data envelopment analysis book tenth ACM SIGKDD international conference on Knowledge discovery and data mining, ().
According to Cook, Tone and Zhu (), Data envelopment analysis: Data envelopment analysis book to choosing a model, OMEGA, Vol. 44, From the title, Data Envelopment Analysis (DEA) is a methodology for analysizing data.
Specifically, DEA is used to identify best-practices when multiple performance metrics or measures are present for organizations. Title: Data Envelopment Analysis: Theory and Applications Subtitle (series): Proceedings of the 10th International Conference on DEA Venue: DEA, AugustNatal, Brazil Edited by: Rajiv Banker, Ali Emrouznejad, Ana Lúcia Miranda Lopes, Mariana Rodrigues de Almeida.
Date: December 14 Data Envelopment Analysis (DEA) Introduction (Charnes et al. ; Banker et al. ; Seiford and Thrall ; and Banker and Thrall ) In this chapter we shall examine an important applications area of linear programming, namely the technique of data envelopment analysis (DEA) that was first introduced by Charnes, Cooper, and Rhodes ().
From the Foreword: 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique. (The author's) research is an example of inventiveness, diligence and accuracy' - Freerk A. Lootsma, Delft Institute of Technology Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units.
Data Envelopment Analysis. International Series in Operations Research & Management Science (Book ) Thanks for Sharing. You submitted the following rating and review. We'll publish them on our site once we've reviewed : Springer US. This handbook covers DEA topics that are extensively used and solidly based.
The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research.
It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Data Envelopment Analysis and Economics. Data Envelopment Analysis (DEA) is a nonparametric method of measuring the efficiency of a decision-making unit (DMU) such as a firm or a public-sector agency, first introduced into the Operations Research (OR) literature by Charnes, Cooper, and Rhodes (CCR) (European Journal of Operational Research [EJOR], ).
DATA ENVELOPMENT ANALYSIS A Comprehensive Text with Models, Applications, References and DEA-Solver Software WILLIAM W. COOPER University of Texas at Austin, U.S.A. LAWRENCE M.
SEIFORD University of Massachusetts at Amherst and National Science Foundation, U.S.A. KAORU TONE National Graduate Institute for Policy Studies, Japan Kluwer Academic. Data Envelopment Analysis is a novel decision making tool based on the principle of linear programming to compare the relative operational efficiency of a set of comparable decision making units even with multiple inputs and outputs.
Data Envelopment Analysis and Economics Data Envelopment Analysis (DEA) is a nonparametric method of measuring the efﬁciency of a decision-making unit (DMU) such as a ﬁrm or a public-sector agency, ﬁrst introduced into the Operations Research (OR) literature by Charnes, Cooper, and Rhodes (CCR) (European Journal of OperationalFile Size: KB.
Data envelopment analysis /04/ Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers[clarification needed].
It is used to empirically measure productive efficiency of decision making units (or DMUs). Title: Data Envelopment Analysis (DEA) 1 Example Data Envelopment Analysis (DEA) 2 Background Information.
Consider a group of three hospitals. To simplify matters, we assume that each hospital converts two inputs into three different outputs. (in a real DEA, there might be many more inputs and outputs.) The two inputs used by each.
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Emrouznejad, A. and E. Thanassoulis (), Data Envelopment Analysis and Performance Measurement: Recent Developments: Proceedings of the DEA International Conference of Data Envelopment Analysis, AprilAston Business School, Birmingham, UK, ISBN: 1.
This note introduces a method known as Data Envelopment Analysis (DEA) as a tool for computing priority measures for affected communities, sites or social groups. It is attractive because it circumvents some of the issues in classic index formation altogether.
It avoids pre-defined indicator normalization, weights and aggregation functions in favor. Data envelopment analysis is a non-parametric linear programming-based technique used for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparisons Size: KB.
This book describes the method of data envelopment analysis that uses mathematical programming techniques to obtain measures of efficiency of individual forms from their observed input and output quantities. The method permits setting up realistic input-output targets for the firm's managers.
A firm is considered to be technically inefficient when it fails to yield the maximum quantity of Cited by: This chapter deals with the measurement of efficiency through the nonparametric, mathematical programming-based technique better known as data envelopment analysis (DEA). A producer is defined as an economic agent that takes a set of inputs and transforms them either in form or in location into a set of outputs.
In DEA, the economic agent is referred to as a decision-making unit (DMU) to. Socially Responsible Investing (SRI) Value-Based or “Ethical” mutual funds: Create screens to prevent investment in organizations that promote or participate i. Editors: Zhu, Joe (Ed.) Editor is one of the most prominent researchers in the field Prestigious group of contributors Covers all topics not covered in the latest version of the Handbook on Data Envelopment Analysis This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA).
Data envelopment analysis Introduction. Data envelopment analysis (DEA), occasionally called frontier analysis, was first put forward by Charnes, Cooper and Rhodes in It is a performance measurement technique which, as we shall see, can be used for evaluating the relative efficiency of decision-making units (DMU's) in organisations.