References:

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589–609, https://doi.org/10.2307/2978933
Araghi, M. K., Makvandi, S. (2013). Comparing Logit, Probit and Multiple Discriminant Analysis Models in Predicting Bankruptcy of Companies. Asian Journal of Finance & Accounting, 5(1), 48–59.
Banker, R. D., Charnes, A., Cooper, W.W. (1984). Some Models for Estimating Technical Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092,
https://doi.org/10.1287/mnsc.30.9.1078
Cooper, W., Park, K., Pastor, J. (2001). The Range Adjusted Measure (RAM) in DEA: A Response to the Comment by Steinmann and Zweifel, Journal of Productivity Analysis, 15(2), 145–152, https://doi.org/10.1023/A:1007882606735
Cooper, W. W., Seiford, L. M., Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA- Solver Software, Second edition. New York: Springer Science and Business Media, Inc. ISBN-10: 0-387-45281-8.
Emrouznejad, A., Amin, G. R. (2009). DEA Models for Ratio Data: Convexity Consideration.
Applied Mathematical Modelling 33(1), 486–498, https://doi.org/10.1016/j.apm.2007.11.018
Emrouznejad, A., Anouze, A., Thanassoulis, E. (2010). A Semi-Oriented Radial Measure for
Measuring the Efficiency of Decision Making Units with Negative Data, Using DEA.
European Journal of Operational Research, 200(1), 297–304, https://doi.org/10.1016/j.
ejor.2009.01.001
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A, 120, 253–281.
Feruś, A. (2010). The Application of DEA Method in Evaluating Credit Risk of Companies.
Contemporary Economics, 4(4), 107–113.
Hollingsworth, B., Smith, P.C. (2003). The Use of Ratios in Data Envelopment Analysis, Applied Economics Letters, 10(11), 733–735, https://doi.org/10.1080/1350485032000133381
Charnes, A., Cooper, W. W., Golany, B., Seiford, L. M., Stutz, J. (1985). Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions.
Journal of Econometrics, 30(12), 91–127, https://doi.org/10.1016/0304-4076(85)90133-2
Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the Efficiency of Decision
Making Units. European Journal of Operational Research, 2(6), 429–444, https://doi.
org/10.1016/0377-2217(78)90138-8
Ozbek, M. E., Garza, J. M., Triantis, K. (2009). Data Envelopment Analysis as a Decision- Making Tool for Transportation Professionals. Journal of Transportation engineering, 135(11), 822–831, https://doi.org/10.1061/(ASCE)TE.1943-5436.0000069
Paradi, J. C., Asmild, M., Simak, P. C. (2004). Using DEA and Worst Practice DEA in
Credit Risk Evaluation. Journal of Productivity Analysis, 21(2), 153–165, https://doi.
org/10.1023/B:PROD.0000016870.47060.0b
Portela, M. C. A. S., Thanassoulis, E., Simpson, G. (2004). Negative Data in DEA: A Directional Distance Approach Applied Bank Branches. Journal of the Operational Research Society, 55(10), 1111–1121, https://doi.org/10.1057/palgrave.jors.2601768
Premachandra, I. M., Bhabra, G. S., Sueyoshi, T. (2009). DEA as a Tool for Bankruptcy Assessment: A Comparative Study With Logistic Regression Technique. European Journal of Operational Research, 193(2), 412–424, https://doi.org/10.1016/j.ejor.2007.11.036
Premachandra, I. M., Chen, Y., Watson, J. (2011). DEA as a Tool for Predicting Corporate Failure And Success: A Case of Bankruptcy Assessment. Omega, 39(6), 620-626.
Sharp, J. A., Lio, W. B., Meng, W. (2006). A Modified Slack-Based Measure Model for Data
Envelopment Analysis with “Natural” Negative Outputs and Input. Journal of Operational
Research Society, 58(12), 1672–1677, https://doi.org/10.1057/palgrave.jors.2602318
Sueyoshi, T., Goto, M. (2009). Methodological Comparison Between DEA (Data Envelopment
Analysis) and DEA-DA (Discriminant Analysis) from the Perspective of Bankruptcy
Assessment. European Journal of Operational Research, 199(2), 561–575, https://doi.
org/10.1016/j.ejor.2008.11.030
Tone, K. (2001). A Slacks-Based Measure of Efficiency in Data Envelopment Analysis.
European Journal of Operational Research, 130(3), 498–509, https://doi.org/10.1016/
s0377-2217(99)00407-5 
Vavřina, J., Hampel, D., Janová J. (2013). New Approaches for the Financial Distress
Classification in Agribusiness. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61(4), 1177–1182, https://doi.org/10.11118/actaun201361041177
Xu, X., Wang, Y. (2009). Financial Failure Prediction Using Efficiency as a Predictor. Expert Systems with Applications, 36(1), 366–373, https://doi.org/10.1016/j.eswa.2007.09.040