___

• Abbot, M., C.Doucoulıagos (2003), The Efficiency Of Australian Universities: A Data Envelopment Analysis, Analysis, Economic Of Education Review Vol. 22, Pp.89-97,.
• Avkıran, N.K.,(2001), Investigating Technical And Scale Efficiency Of Australian Universities Through Data Envelopment Analysis, Socio-Economic Planning Sciences, Vol. 35, Pp. 57-80.
• Bakırcı, F. (2006), Üretimde Etkinlik Ve Verimlilik Ölçümü, Veri Zarflama Analizi: Teori Ve Uygulama, Atlas Yayınları, Ankara.
• Babacan, A. (2006), “Türkiye’deki Üniversitelerde Vza Yöntemiyle Verimlilik Analizi”, Basılmamış Doktora Tezi, C.Ü. Sosyal Bilimler Enstitüsü.
• Banker R.D., A. Charnes, W.W. Cooper (1984), Some Models For Estimating Technical And Inefficiencies İn Dea, Mangement Science, 30(9),1078-1092.
• Banker, R.D., Morey, R.C. (1986), Efficiency Analysis For Exogenously Fixed Inputs And Outputs, Operational. Research., 34, 513-521.
• Banker, R.D., R.M. Thrall (1992), Estimation Of Returns To Scale Using Dea, European Journal Of Operational Research, V.62, Pp. 74-84.
• Banxia Software Limited (2003), Frontier Analysis Version 3.0, Efficiency Analysis Software, Kendal, Uk.
• Caballero, R., T.Galache, T.Gomez, J.Molına, A.Torrıco (2004), Budgetary Allocations And Efficiency İn The Human Resources Policy Of A University Following Multiple Criteria, Economics Of Education Review, Vol. 23, Pp.67-74.
• Charnes, A., W.W.Cooper, B. Golany, L. Seiford, J. Stutz (1985), Foundations Of Dea For Pareto-Koopmans Efficiency Emprical Production Function, Journal Of Econometrics, V.30, Pp. 91-107.
• Doherty, E.M., (2001), Understanding Faculty Productivity: Standarts And Benchmarks For Colleges And Universities, www.Muse.Jhu.Edu Journals/ Journal_Of_ Higher_ Education / V074/74.1doherty. Pdf (18.06.2007)
• Gates, S., A.Stone (1997), Undersanding Productivity In Higher Education, www.Uco.Edu/Acadinit/Mastplan/Projecth.Pdf (18.06.2007).
• Izadı, H., G.Johnes, R.Oskrochı, R.Crouchley (2002), Stochastic Frontier Estimation Of A Ces Cost Function: The Case Of Higher Education İn Britain, Economics Of Education Review, 21, Pp.63-71.
• Lawrance, J.H., R.T.Blackburn (1998), Age As Predictor Of Faculty Productivity: Three Conceptual Approaches, The Journal Of Higher Education, Vol. 59, No: 1, Pp. 22-38.
• Levin, H.M., (1997), Raising School Productivity: An X-Efficincy Approach, Economics Of Education Review, Vol.16, No: 3, Pp. 303-311.
• Norman, M., B.Stoker (1991), Data Envelopment Analysis, John Wiley, Chichester.
• Sharon, G.L., P.E.Stephan (1989), Age And Research Productivity Of Academic Scientists, Research İn Higher Education, Vol. 59, No: 5, Pp. 531-549.
• Sherman, H.D. (1984), Dea As A Managerial Audit Methodology Test And Evaluation, Auditing: A Journal Of Practice And Theory, V.4, 35-53.
• Tarım, A. (2001), Veri Zarflama Analizi: Matematiksel Programlama Tabanlı Göreli Etkinlik Ölçüm Yaklaşımı, Hacettepe.Edu.Tr. Pdf Formatı, Ss.16-18. Armagan.Tarim@
• Thursby, J.G., S.Kemp (2002), Growth And Productive Efficiency Of University Intellectual Property L İcencing, Research Policy, Vol.31, Pp. 109-124.
• Yolalan, R.(1991), Parametresiz Etkinlik Ölçütleri Ve Veri Zarflama Yöntemi, Mpm Yayını, 454, Ankara. Sonnotlar:
• i Bu ve benzeri yorumlar konusunda daha geniş bir literatür için A.Tarım, (2001) kaynağına başvurulabilir.
• ii Commitee of Vice Chancellors and Principals’a Sir Alex Jarrat tarafından 25 Mart 1985 ‘de
• sunulan “Report of the Steering Commitee for Efficiency Studies in Universities”raporu.
• *Diğer Fakülteler için yapılması önerilen düzeltmeler için yazarlara başvurulabilir.