Data Envelopment Analysis with R

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Publisher : Springer
ISBN 13 : 3030242773
Total Pages : 236 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Data Envelopment Analysis with R by : Farhad Hosseinzadeh Lotfi

Download or read book Data Envelopment Analysis with R written by Farhad Hosseinzadeh Lotfi and published by Springer. This book was released on 2019-07-23 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers.

Benchmarking with DEA, SFA, and R

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Publisher : Springer Science & Business Media
ISBN 13 : 1441979611
Total Pages : 362 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Benchmarking with DEA, SFA, and R by : Peter Bogetoft

Download or read book Benchmarking with DEA, SFA, and R written by Peter Bogetoft and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.

Handbook on Data Envelopment Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1441961518
Total Pages : 513 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Handbook on Data Envelopment Analysis by : William W. Cooper

Download or read book Handbook on Data Envelopment Analysis written by William W. Cooper and published by Springer Science & Business Media. This book was released on 2011-08-23 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.

Data Envelopment Analysis: Theory, Methodology, and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9401106371
Total Pages : 507 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Data Envelopment Analysis: Theory, Methodology, and Applications by : Abraham Charnes

Download or read book Data Envelopment Analysis: Theory, Methodology, and Applications written by Abraham Charnes and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 actual process of conducting DEA analyses including combining DEA and 1 parametric techniques. The book has three other distinctive features. It traces the applications driven evolution and diffusion of DEA models and extensions across disciplinary boundaries. It includes a comprehensive bibliography to serve as a source of references as well as a platform for further develop ments. And, finally, the power of DEA analysis is demonstrated through fifteen novel applications which should serve as an inspiration for future applications and extensions of the methodology. The origin of this book was a Conference on New Uses of DEA in 2 Management and Public Policy which was held at the IC Institute of the University of Texas at Austin on September 27-29, 1989. The conference was made possible through NSF Grant #SES-8722504 (A. Charnes and 2 W. W. Cooper, co-PIs) and the support of the IC Institute.

Data Envelopment Analysis

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Publisher : Springer
ISBN 13 : 1489975535
Total Pages : 465 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Data Envelopment Analysis by : Joe Zhu

Download or read book Data Envelopment Analysis written by Joe Zhu and published by Springer. This book was released on 2015-03-18 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

An Introduction to Data Envelopment Analysis

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Publisher : SAGE
ISBN 13 : 9780761997610
Total Pages : 208 pages
Book Rating : 4.9/5 (976 download)

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Book Synopsis An Introduction to Data Envelopment Analysis by : R Ramanathan

Download or read book An Introduction to Data Envelopment Analysis written by R Ramanathan and published by SAGE. This book was released on 2003-08-18 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc.,-to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%.

Network Data Envelopment Analysis

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Publisher : Springer
ISBN 13 : 3319317180
Total Pages : 443 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Network Data Envelopment Analysis by : Chiang Kao

Download or read book Network Data Envelopment Analysis written by Chiang Kao and published by Springer. This book was released on 2016-08-23 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also the internal structure of the system being analyzed. By analyzing the efficiency of individual internal components, and more particularly by studying the effects of relationships among components which are modeled and implemented by means of various network structures, the “network DEA” approach is able to help identify and manage the specific components that contribute inefficiencies into the overall systems. This relatively new approach comprises an important analytical tool based on mathematical programming techniques, with valuable implications to production and operations management. The existing models for measuring the efficiency of systems of specific network structures are also discussed, and the relationships between the system and component efficiencies are explored. This book should be able to inspire new research and new applications based on the current state of the art. Performance evaluation is an important task in management, and is needed to (i) better understand the past accomplishments of an organization and (ii) plan for its future development. However, this task becomes rather challenging when multiple performance metrics are involved. DEA is a powerful tool to cope with such issues. For systems or operations composed of interrelated processes, managers need to know how the performances of the various processes evaluated and how they are aggregated to form the overall performance of the system. This book provides an advanced exposition on performance evaluation of systems with network structures. It explores the network nature of most production and operation systems, and explains why network analyses are necessary.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 0387716076
Total Pages : 334 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by : Joe Zhu

Download or read book Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis written by Joe Zhu and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.

Data Envelopment Analysis

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Publisher : Springer
ISBN 13 : 1489980687
Total Pages : 601 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Data Envelopment Analysis by : Wade D. Cook

Download or read book Data Envelopment Analysis written by Wade D. Cook and published by Springer. This book was released on 2014-07-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford and J, Zhu, 2011, Springer) in an effort to extend the frontier of DEA research. It provides a comprehensive source for the state-of-the art DEA modeling on internal structures and network DEA. Chapter 1 provides a survey on two-stage network performance decomposition and modeling techniques. Chapter 2 discusses the pitfalls in network DEA modeling. Chapter 3 discusses efficiency decompositions in network DEA under three types of structures, namely series, parallel and dynamic. Chapter 4 studies the determination of the network DEA frontier. In chapter 5 additive efficiency decomposition in network DEA is discussed. An approach in scale efficiency measurement in two-stage networks is presented in chapter 6. Chapter 7 further discusses the scale efficiency decomposition in two stage networks. Chapter 8 offers a bargaining game approach to modeling two-stage networks. Chapter 9 studies shared resources and efficiency decomposition in two-stage networks. Chapter 10 introduces an approach to computing the technical efficiency scores for a dynamic production network and its sub-processes. Chapter 11 presents a slacks-based network DEA. Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 13 presents an efficiency measurement methodology for multi-stage production systems. Chapter 14 discusses network DEA models, both static and dynamic. The discussion also explores various useful objective functions that can be applied to the models to find the optimal allocation of resources for processes within the black box, that are normally invisible to DEA. Chapter 15 provides a comprehensive review of various type network DEA modeling techniques. Chapter 16 presents shared resources models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. Chapter 17 examines a set of manufacturing plants operating under a single umbrella, with the objective being to use the component or function measures to decide what might be considered as each plant’s core business. Chapter 18 considers problem settings where there may be clusters or groups of DMUs that form a hierarchy. The specific case of a set off electric power plants is examined in this context. Chapter 19 models bad outputs in two-stage network DEA. Chapter 20 presents an application of network DEA to performance measurement of Major League Baseball (MLB) teams. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies. Chapter 22 then presents two distinct network efficiency models that are applied to engineering systems.

Production and Efficiency Analysis with R

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Publisher : Springer
ISBN 13 : 3319205021
Total Pages : 227 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Production and Efficiency Analysis with R by : Andreas Behr

Download or read book Production and Efficiency Analysis with R written by Andreas Behr and published by Springer. This book was released on 2016-01-09 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.

Data Envelopment Analysis

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Publisher : Cambridge University Press
ISBN 13 : 9781139453318
Total Pages : 376 pages
Book Rating : 4.4/5 (533 download)

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Book Synopsis Data Envelopment Analysis by : Subhash C. Ray

Download or read book Data Envelopment Analysis written by Subhash C. Ray and published by Cambridge University Press. This book was released on 2004-06-07 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers developments such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The book also covers several forms of stochastic DEA in detail.

Research Methodology on Data Envelopment Analysis (DEA)

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Publisher : Universal-Publishers
ISBN 13 : 1599429500
Total Pages : 379 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Research Methodology on Data Envelopment Analysis (DEA) by : Jibendu Kumar Mantri

Download or read book Research Methodology on Data Envelopment Analysis (DEA) written by Jibendu Kumar Mantri and published by Universal-Publishers. This book was released on 2008 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Envelopment Analysis (DEA) represents a milestone in the progression of a continuously advancing methodology for data analysis, which finds extensive use in industry, society and even in education. This book is a handy encyclopedia for researchers, students and practitioners looking for the latest and most comprehensive references in DEA. J.K. Mantri has specifically selected 22 research papers where DEA is applied in different fields so that the techniques discussed in this book can be used for various applications. In A Bibliography of Data Envelopment Analysis (1978-2001), Gabriel Tavares states that DEA is a mathematical programme for measuring performance efficiency of organizations popularly named as decision-making units (DMU). The DMU can be of any kind such as manufacturing units, a number of schools, banks, hospitals, police stations, firms, etc. DEA measures the performance efficiency of these kinds of DMUs, which share a common characteristic: they have a non-profit organization where measurement is difficult. DEA assumes the performance of the DMU using the concepts of efficiency and productivity, which are measured as the ratio of total outputs to total inputs. The efficiencies estimated are relative to the best performing DMU, which is given a score of 100%. The performance of other DMUs varies between 0% and 100%.

Advances in DEA Theory and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1118946707
Total Pages : 576 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Advances in DEA Theory and Applications by : Kaoru Tone

Download or read book Advances in DEA Theory and Applications written by Kaoru Tone and published by John Wiley & Sons. This book was released on 2017-04-12 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting. Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource: Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications Provides rich, detailed examples and case studies Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.

Performance Measurement with Fuzzy Data Envelopment Analysis

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Publisher : Springer
ISBN 13 : 3642413722
Total Pages : 293 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Performance Measurement with Fuzzy Data Envelopment Analysis by : Ali Emrouznejad

Download or read book Performance Measurement with Fuzzy Data Envelopment Analysis written by Ali Emrouznejad and published by Springer. This book was released on 2013-11-29 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

Measuring Efficiency

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Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (44 download)

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Book Synopsis Measuring Efficiency by : Richard H. Silkman

Download or read book Measuring Efficiency written by Richard H. Silkman and published by . This book was released on 1986 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Data Envelopment Analysis

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Publisher : World Scientific
ISBN 13 : 9814644560
Total Pages : 112 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Advances in Data Envelopment Analysis by : Rolf Färe

Download or read book Advances in Data Envelopment Analysis written by Rolf Färe and published by World Scientific. This book was released on 2015-03-26 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU). Contents:AcknowledgementsPrefaceIntroduction:The DEA Technology and Its Representation(Axiomatic) Properties of the DEA ModelAppendixLooking at the Data in DEA:Data DiagnosticsTechnical ChangeData TranslationAppendix: Distance FunctionsDEA and Intensity Variables:On Shephard's Duality TheoryAdjoint Transformations in DEAThe Diet ProblemPricing Decision Making UnitsDEA and Directional Distance Functions:Directional VectorsAggregation and Directional VectorsEndogenizing the Directional VectorAppendixDEA and Time Substitution:Theoretical UnderpinningReassessing the EU Stability and Growth PactMethodSome Limitations of Two DEA Models:The Non-Archimedean and DEASuper-Efficiency and ZerosReferences Readership: Advanced postgraduate students and researchers in operations research and economics with a particular interest in production theory and operations management. Keywords:Optimization Techniques;Multifactor Productivity;Intertemporal Firm Choice;Technological Change: Choices and Consequences;Diffusion Processes;Data Envelopment Analysis;Operations Research

Data Envelopment Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 0387452834
Total Pages : 492 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Data Envelopment Analysis by : William W. Cooper

Download or read book Data Envelopment Analysis written by William W. Cooper and published by Springer Science & Business Media. This book was released on 2007-01-10 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment.