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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 6, Issue 2, June 2013 pp 60-64

Research Article

Quality Improvement In Education System: Data Envelopment Analysis Approach

 

Bhagat K. Gayval*, V. H. Bajaj

Department of Statistics, Dr. B. A. M. University, Aurangabad-431004, Maharashtra, INDIA.


Academic Editor: Dr. Dase R.K.

 

Linked References
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        3. Banker, R.D., Charnes, A. and Cooper, W.W. (1984), ‘Some models for estimating technical and scale inefficiencies in data envelopment analysis’, Management Science, Vol. 30, No. 9, pp.1078-1092.
        4. Cooper, W.W., Seiford, L.M. and Tone, K. (2000) Data envelopment Analysis, Boston: Kluwer.
        5. Mcmillan, L.M. and Datta, D. (1998) ‘The relative efficiencies of Canadian universities: a DEA perspective’, Canadian Public Policy-Analyse De Politiques, Vol. 24, No. 4, pp.485–511.
        6. Ramanathan, R. (2001) ‘A data envelopment analysis of comparative performance of schools in the Netherlands’, Opsearch, Vol. 8, No. 2, pp.160–181.
        7. Seiford, L.M. and Thrall, R.M. (1990) ‘Recent developments in DEA: the mathematical approachto frontier analysis’, Journal of Econometrics, Vol. 46, Nos. 1/2, pp.7–38.
        8. Wadhwa, S., Kumar, A. and Saxena, A. (2005) ‘Modeling and analysis of technical education system: A KM and DEA based approach’, Studies in Informatics and Control, Vol. 14, No. 4,pp.235–250.
        9. Rhodes, E.Y. and Southwick, L. (1986) Determinants of Efficiency in Public and Private Universities, Department of Economics, University of South Carolina.
        10. Wang, N. S., Yi, R. H., & Wang, W. (2008). Evaluating the performances of decision making units based on interval efficiencies. Journal of Computational and Applied Mathematics, 216, 328–343
        11. Jesson, D., Mayston, D., and Smith, P. (1987).Performance assessment in the education nal sector: Educational and economic perspectives. Oxford Review of Education, 13, 249-267.
 
 
 
 
 
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