A cyber-Bibliography for Data Envelopment Analysis (1978--2005)



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European Journal of Operational Research 121, (2): 287.

Resende, M. 2000. Regulatory regimes and efficiency in US local telephony. Oxford Economic Papers 52, : 447.

Resende, M., and L. O. Facanha. 2002. Privatization and efficiency in brazilian telecommunications: An empirical study. Applied Economics Letters 9, : 823.

Resende, Marcelo. 2002. Relative efficiency measurement and prospects for yardstick competition in brazilian electricity distribution. Energy Policy 30, (8): 637-47.

Resende, Marcelo, and Luis Otavio Facanha. 2005. Price-cap regulation and service-quality in telecommunications: An empirical study. Information Economics and Policy 17, (1): 1.

Resti, Andrea. 2000. Efficiency measurement for multi-product industries: A comparison of classic and recent techniques based on simulated data. European Journal of Operational Research 121, (3): 559.

———. 1998. Regulation can foster mergers, can mergers foster efficiency? the italian case. Journal of Economics and Business 50, : [157]-69.

———. 1997. Evaluating the cost-efficiency of the italian banking system: What can be learned from the joint application of parametric and non-parametric techniques. Journal of Banking & Finance 21, (2): 221.

Resti, Andrea, Marida Bertocchi, Enrico Cavalli, and Sandor Komlosi. Linear programming and econometric methods for bank efficiency evaluation: An empirical comparison based on a panel of italian banks. In Modeling techniques for financial markets and bank management.Physica-Verlag.

Resti, Andrea, and University of Wales. Institute of European Finance.,. 1996. Cone-ratio D.E.A. with a set of value-based rules : Theoretical framework and empirical findings on italian banks. Research papers in banking and finance ; RP 96/16. Bangor, Gwynedd: Institute of European Finance University of Wales Bangor.

Retzlaff-Roberts, D., and R. Puelz. 1996. Classification in automobile insurance using a DEA and discriminant-analysis hybrid. Journal of Productivity Analysis 7, (4): 417-427.

Retzlaff-Roberts, D. L. 1997. A data envelopment analysis approach to discriminant analysis. Annals of Operations Research 73, : 299.

Retzlaff-Roberts, Donna L. 1996. A ratio model for discriminant analysis using linear programming. European Journal of Operational Research 94, (1): 112.

———. 1996. Relating discriminant analysis and data envelopment analysis to one another. Computers & Operations Research 23, (4): 311.

Retzlaff-Roberts, Donna L., and Richard C. Morey. 1993. A goal-programming method of stochastic allocative data envelopment analysis. European Journal of Operational Research 71, (3): 379.

Retzlaff-Roberts, Donna Lynn. 1990. Incorporating uncertainty into allocative data envelopment analysis.Ph. D. dissertation, University of Cincinnati.

Retzlaff-Roberts, Donna, Cyril F. Chang, and Rose M. Rubin. 2004. Technical efficiency in the use of health care resources: A comparison of OECD countries. Health Policy 69, (1): 55.

Revilla, E., J. Sarkis, and A. Modrego. 2003. Evaluating performance of public-private research collaborations: A DEA analysis. Journal of the Operational Research Society 54, : 165.

Reynolds, Dennis. 2003. Hospitality-productivity assessment using data-envelopment analysis. The Cornell Hotel and Restaurant Administration Quarterly 44, (2): 130.

Rhodes, Edwardo L., and Edwardo L. Rhodes. 1993. Introduction: Applications of management science to public policy. In Applications of management science: Public policy applications of management science., ix-xv. Greenwich, CT: AJI Press inc.

Rhodes, Edwardo L., and Richard H. Silkman. 1986. An exploratory analysis of variations in performance among U.S. national parks. In Measuring efficiency: An assessment of data envelopment analysis., 47-71. San Francisco, Jossey Bass, Inc.: American Evaluation Association.

Rhodes, Edwardo L., Lawrence Southwick Jr., and Edwardo L. Rhodes. 1993. Variations in public and private university efficiency. In Applications of management science: Public policy applications of management science., 145-170. Greenwich, CT: AJI Press inc.

Rhodes, Edwardo Lao. 2003. Environmental justice in america : A new paradigm. Bloomington: Indiana University Press.

———. 1978. Data envelopment analysis and approaches for measuring the efficiency of decision-making units with an application to program follow-through in U.S. education.Ph. D. dissertation, School of Urban and Public Affairs, Carnegie-Mellon University.

Rickards, R. C. 2003. Setting benchmarks and evaluating balanced scorecards with data envelopment analysis. Benchmarking: An International Journal 10, : 226.

Ritchie, P. C., and J. E. Rowcroft. 1996. Choice of metric in the measurement of relative productivity efficiency. International Journal of Production Economics.

Ritzmann, Derek, and University of Oxford. Dept. of Economics.,. 2000. An essay on economic growth. Thesis M Phil --University of Oxford 2000., .

Roberts, Ann Elizabeth. 2001. Health care performance management : Insights from applications of data envelopment analysis.

Rogers, Mark. 1998. The definition and measurement of productivity. University of Melbourne. Institute of Applied Economic and Social Research. Iaesr Working Paper No. 9/98, : 1-27.

Rogowski, Grzegorz, and Birkbeck College. Department of Management and Business Studies.,. 1997. Profitability, technical and scale efficiency of polish banks : An application of data envelopment analysis to bank strategic management. London: Dept. of Management and Business Studies, Birkbeck College, University of London.

Roll, Y., and Boaz Golany. 1993. Alternate methods of treating factor weights in DEA. Omega 21, (1): 99.

Roll, Yaakov, and Wade D. Cook. 1993. Partial efficiencies in data envelopment analysis. Socio-Economic Planning Sciences 27, : 171-79.

Roll, Yaakov, Wade D. Cook, and Boaz Golany. 1991. Controlling factor weights in data envelopment analysis. IIE Transactions 23, (1): 2-9.

Roll, Yaakov, Boaz Golany, and D. Seroussy. 1989. Measuring the efficiency of maintenance units in the israeli air force. European Journal of Operational Research 43, (2): 136-142.

Rollins, J., K. Lee, Y. Xu, and Y. A. Ozcan. 2001. Longitudinal study of health maintenance organization efficiency. Health Services Management Research 14, : 249.

Rosen, D., C. Schaffnit, and J. C. Paradi. 1998. Marginal rates and two-dimensional level curves in DEA. Journal of Productivity Analysis 9, : 205.

Rosenberg, D. 1991. DEA (data envelopment analysis) or dubious efficiency assessment. J Health Hum Resour Adm 14, (1): 65-76.

———. 1991. EFPF (economic frontier production function): DEA (data envelopment analysis) preview. J Health Hum Resour Adm 14, (1): 77-83.

———. 1991. Forget CEA (cost effectiveness analysis). use DEA (data envelopment analysis)! J Health Hum Resour Adm 14, (1): 109-112.

———. 1991. Productivity analysis: DEA (data envelopment analysis) with fixed inputs. J Health Hum Resour Adm 14, (1): 84-88.

Rosenman, R., K. Siddharthan, and M. Ahern. 1997. Output efficiency of health maintenance organizations in florida. Health Economics 6, (3): 295-302.

Rosko, M. D. 1990. Measuring technical efficiency in health care organizations. J Med Syst 14, (5): 307-322.

Rosko, M. D., Jon A. Chilingerian, J. S. Zinn, and W. E. Aaronson. 1995. The effects of ownership, operating environment, and strategic choices on nursing-home efficiency. Medical Care 33, (10): 1001-1021.

Ross, Anthony D., and Cornelia Droge. 2004. An analysis of operations efficiency in large-scale distribution systems. Journal of Operations Management 21, (6): 673.

Ross, Anthony, and Cornelia Droge. 2002. An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management 20, (1): 19.

Ross, Anthony, and M. A. Venkataramanan. 1998. Multi commodity-multi echelon distribution planning: A DSS approach with application. Proceedings of the Annual Meeting - Decision Sciences Institute.

Rossi, Martin Antonio, and Christian Alejandro Ruzzier. 2000. On the regulatory application of efficiency measures. Utilities Policy 9, (2): 81.

Rouatt, Stephen J. 2003. Two stage evaluation of bank branch efficiency using data envelopment analysis.

Rouse, P., M. Putterill, and D. Ryan. 1997. Towards a general managerial framework for performance measurement: A comprehensive highway maintenance application. Journal of Productivity Analysis 8, : 127.

Rouse, Paul, Martin Putterill, and David Ryan. 2002. Integrated performance measurement design: Insights from an application in aircraft maintenance. Management Accounting Research 13, (2): 229.

Rousseau, J., and J. Semple. 1995. Radii of classification preservation in data envelopment analysis. Journal of the Operational Research Society 46, (8): 943-957.

Rousseau, J. J., and J. H. Semple. 1997. Dominant competitive factors for evaluating program efficiency in grouped data. Annals of Operations Research 73, : 253.

———. 1995. Two-person ratio efficiency games. Management Science 41, (3): 435-441.

———. 1993. Categorical outputs in data envelopment analysis. Management Science 39, (3): 384-386.

Rousseau, S., and R. Rousseau. 1998. The scientific wealth of european nations: Taking effectiveness into account. Scientometrics 42, (1): 75-87.

———. 1997. Data envelopment analysis as a tool for constructing scientometric indicators. Scientometrics 40, (1): 45-56.

Roy, Bernard, and D. Bouyssou. 2002. Aiding decisions with multiple criteria : Essays in honor of bernard roy. Boston: Kluwer Academic Publishers.

Rubenstein, Ross H. 1997. School-level budgeting and resource allocation in the chicago public schools: Processes and results (illinois).Ph.D. dissertation, New York University; 0146.

Ruggieri, John Pasquale. 2004. Ranking by consensus using one-sided DEA. Thesis (Ph.D.)., University of Toronto, 2004.

Ruggiero, J. 2000. Nonparametric estimation of returns to scale in the public sector with an application to the provision of educational services. Journal of the Operational Research Society 51, : 906.

———. 1999. Efficiency estimation and error decomposition in the stochastic frontier model: A monte carlo analysis. European Journal of Operational Research 115, (3): 555-563.

———. 1996. Efficiency of educational production - an analysis of new-york school districts. Review of Economics and Statistics 78, (3): 499-509.

Ruggiero, John. 2004. Data envelopment analysis with stochastic data. Journal of the Operational Research Society 55, : 1008.

———. 2004. Performance evaluation when non-discretionary factors correlate with technical efficiency. European Journal of Operational Research 159, (1): 250.

———. 2003. Comment on estimating school efficiency. Economics of Education Review 22, (6): 631.

———. 2000. Measuring technical efficiency. European Journal of Operational Research 121, (1): 138.

———. 1999. Nonparametric analysis of educational costs. European Journal of Operational Research 119, (3): 605.

———. 1998. A new approach for technical efficiency estimation in multiple output production. European Journal of Operational Research 111, (2): 369.

———. 1998. Non-discretionary inputs in data envelopment analysis. European Journal of Operational Research 111, (3): 461.

———. 1996. On the measurement of technical efficiency in the public sector. European Journal of Operational Research 90, (3): 553.

Ruggiero, John, and Stuart Bretschneider. 1998. The weighted russell measure of technical efficiency. European Journal of Operational Research 108, (2): 438.

Ruggiero, John, Jerry Miner, and Lloyd Blanchard. 2002. Measuring equity of educational outcomes in the presence of inefficiency. European Journal of Operational Research 142, (3): 642.

Ruggiero, John, and Donald F. Vitaliano. 1999. Assessing the efficiency of public schools using data envelopment analysis and frontier regression. Contemporary Economic Policy 17, (3): 321-31.

Ruiz, Jose L., and Inmaculada Sirvent. 2001. Techniques for the assessment of influence in DEA. European Journal of Operational Research 132, (2): 390.

Ruiz-Torres, Alex J., and Francisco J. Lopez. 2004. Using the FDH formulation of DEA to evaluate a multi-criteria problem in parallel machine scheduling. Computers & Industrial Engineering 47, (2-3): 107.

Rumsey, Hal A. Productivity measurement by data envelopment analysis and related models: An application to air force civil engineering.

Rumsey, Hal Andrew. 1986. Organizational validity of constrained facet analysis in U.S. air force civil engineering.Ph. D. dissertation, University of Missouri.

Rust, R. T., and R. Metters. 1996. Mathematical-models of service. European Journal of Operational Research 91, (3): 427-439.

Ryan, Michael J. 2001. Variance analysis, normed costs and public safety organizations. Applied Economics 33, (6): 755-62.

———. 1999. Data envelopment analysis, cost efficiency and performance targetting. University of Hull. Dept. of Economics. Hull Economic Research Papers No. 264, : 1-21.

Ryan, Robert Lee. 1994. A data envelopment analysis of organizational climate and performance in public transit operations.Ph. D. dissertation, The University of Texas at Austin.

Saati, M. S., A. Memariani, and G. R. Jahanshahloo. 2002. Efficiency analysis and ranking of DMUs with fuzzy data. Fuzzy Optimization and Decision Making 1, : 255.

Saati, S., and A. Memariani. 2005. Reducing weight flexibility in fuzzy DEA. Applied Mathematics and Computation 161, (2): 611.

Saeed, Baruch Ismail. 1993. Data envelopment analysis under alternative convexity assumptions: Formulations and sensitivity.Ph. D. dissertation, University of California, Berkeley.

Saen, R. Farzipoor, A. Memariani, and F. Hosseinzadeh Lotfi. 2005. The effect of correlation coefficient among multiple input vectors on the efficiency mean in data envelopment analysis. Applied Mathematics and Computation 162, (2): 503.

Saen, Reza Farzipoor. Developing a nondiscretionary model of slacks-based measure in data envelopment analysis. Applied Mathematics and Computation In Press, Corrected Proof, .

Saen, Reza Farzipoor, Azizollah Memariani, and Farhad Hosseinzadeh Lotfi. 2005. Determining relative efficiency of slightly non-homogeneous decision making units by data envelopment analysis: A case study in IROST. Applied Mathematics and Computation 165, (2): 313.

Saha, Asish, and T. S. Ravisankar. 2000. Rating of indian commercial banks: A DEA approach. European Journal of Operational Research 124, (1): 187.

Sahin, I., and Y. A. Ozcan. 2000. Public sector hospital efficiency for provincial markets in turkey. Journal of Medical Systems 24, : 307.

Sahoo, B. K., P. K. J. Mohapatra, and M. L. Trivedi. 1999. A comparative application of data envelopment analysis and frontier translog production function for estimating returns to scale and efficiencies. International Journal of Systems Science 30, : 379.

Sahoo, Biresh Kumar. 1998. Economic applications of data envelopment analysis.Ph.D. Dissertation, Indian Institute of Technology, Kharagpur.

Salehirad, Neda, and Taraneh Sowlati. 2005. Performance analysis of primary wood producers in british columbia using data envelopment analysis. Canadian Journal of Forest Research 35, : 285.

Salinas-Jimenez, J., and P. Smith. 1996. Data envelopment analysis applied to quality in primary health care. Annals of Operations Research 67, : 141-161.

Salinas-Jiménez, Javier, Peter Smith, Health Economics Consortium., and University of York. NHS Centre for Reviews & Dissemination.,. 1994. Data envelopment analysis applied to quality in primary health care. York: Centre for Health Economics University of York.

Salo, Ahti, Tommi Gustafsson, and Ramakrishnan Ramanathan. 2003. Multicriteria methods for technology foresight. Journal of Forecasting 22, (2-3): 235-55.

Samuel Raff, . 1996. Preface. Computers & Operations Research 23, (4) (4): v-v, http://www.sciencedirect.com/science/article/B6VC5-486SWVC-1/2/38f6a80c46a4bc151523ce754193eed1.

Sant, R. 1989. Measuring the efficiency of pubs for allied breweries ltd using DEA.M. Sc. thesis, University of Warwick.

Santos Ana, R., Robert G. Dyson, and Warwick Business School Research,Bureau. 1997. Efficiency, size benchmarks and targets for portuguese bank branches : An application of data envelopment analysis. Research papers ; no 264.

Sanusi, Ghazari Amri. 2001. Rice war : The survival of the malaysian rice industry. Bradford,: .

Sapin, M., A. Hirn, J. C. Lepine, A. Nercessian, L. Jia-Liang, R. H. Green, J. R. Doyle, and Wade D. Cook. 1996. Efficiency bounds in data envelopment analysis. European Journal of Operational Research 89, : 482.

Sarafoglou, N., and K. E. Haynes. 1996. University productivity in sweden - A demonstration and explanatory analysis for economics and business programs. Annals of Regional Science 30, (3): 285-304.

Sarafoglou, Nikias. 1998. The most influential DEA publications: A comment on seiford. Journal of Productivity Analysis 9, (3): 279-282.

Sarafoglou, Nikias, and Kingsley E. Haynes. 1990. Regional efficiencies of building sector research in sweden: An introduction. Computers, Environment and Urban Systems 14, (2): 117-132.

Sarkis, J., and S. Talluri. 2002. Efficiency measurement of hospitals: Issues and extensions. International Journal of Operations & Production Management 22, : 306.

———. 2002. A synergistic framework for evaluating business process improvements. International Journal of Flexible Manufacturing Systems 14, : 53.

———. 1999. A decision model for evaluation of flexible manufacturing systems in the presence of both cardinal and ordinal factors. International Journal of Production Research 37, : 2927.

Sarkis, Joseph. 2000. An analysis of the operational efficiency of major airports in the united states. Journal of Operations Management 18, (3): 335.

———. 2000. A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational Research 123, (3): 543.

———. 1999. A methodological framework for evaluating environmentally conscious manufacturing programs. Computers & Industrial Engineering 36, (4): 793.

———. 1997. An empirical analysis of productivity and complexity for flexible manufacturing systems. International Journal of Production Economics 48, (1): 39.

———. 1997. Evaluating flexible manufacturing systems alternatives using data envelopment analysis.
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