1. Atkinson‎, ‎A‎. ‎C‎. and Fedorov‎, ‎V‎. ‎‎‎(1975)‎. ‎The Designs of Experiments for Discriminating Between Two Rival Models‎, Biometrika, 62‎, ‎57-70‎.‎ [DOI:10.1093/biomet/62.1.57]

2. Chowdhury, S., Lukemire, J., and Mandal, A. (2020). A-ComVar: A Flexible Extension of Common Variance Designs, Journal of Statistical Theory and Practice, ‎14(1)‎, ‎1-49‎.‎‎‎ [DOI:10.1007/s42519-019-0079-y]

3. Del Castillo, E., Alvarez, M. J., Ilzarbe, L., and Viles, E. (2007). A New Design Criterion for Robust Parameter Experiments. Journal of Quality Technology, 39(3)‎, 279-295‎.‎ [DOI:10.1080/00224065.2007.11917693]

4. ‎ Esmailzadeh, N., and Talebi, H. ‎‎‎(2009). Post-Stage Search Property of the 12-run Plackett-Burman Design. Journal of Statistical Sciences, 2 (2), 149-162.

5. Ghosh‎, ‎S.‎, and ‎Chowdhury‎, ‎S‎. ‎(2017)‎. ‎CV‎, ‎ECV‎, ‎and Robust CV Designs for Replications under a Class of Linear Models in Factorial Experiments‎. Journal of Statistical Planning and Inference‎, 188, ‎1-7‎. [DOI:10.1016/j.jspi.2017.03.004]

6. ‎Ghosh‎, ‎S.‎, and ‎Flores‎, ‎A‎. ‎(2013)‎. Common Variance Fractional Factorial Designs and Their Optimality to Identify a Class of Models‎. Journal of Statistical Planning and Inference‎, 143(10)‎, ‎1807-1815‎.‎‎ [DOI:10.1016/j.jspi.2013.06.008]

7. Kackar, R. N. (1985). Off-line Quality Control, Parameter Design, and the Taguchi Method. Journal of Quality Technology, 17(4)‎, 176-188‎.‎‎ [DOI:10.1080/00224065.1985.11978964]

8. ‎Lopez-Fidalgo‎, ‎J‎. ‎Tommasi‎, ‎C‎. ‎and Trandafir‎, ‎P.C‎. ‎(2007)‎. An Optimal Experimental Design Criterion for Discrimination Between Non-Normal Models‎, J‎. ‎R‎. ‎Statist‎. ‎Soc‎, ‎B69‎, ‎231-242‎.‎ [DOI:10.1111/j.1467-9868.2007.00586.x]

9. Miro, G., and Del Castillo, E. (2004)‎, Two Approaches for Enhancing the Dual Response Approach to Robust Parameter Design‎, Journal of Quality Technology‎, 36(2)‎, 154-168‎.‎‎‎ [DOI:10.1080/00224065.2004.11980262]

10. Montgomery, D. C. (2017). Design and Analysis of Experiments. John Wiley Sons.

11. Mukerjee, R., and Wu, C. F. (2006), A Modern Theory of Factorial Design. New York: Springer.

12. Myers, R. H., D. C. Montgomery, and C. M. Anderson-Cook (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments. 4th edition. Wiley, New York.

13. Robinson, T. J., Borror, C. M., and Myers, R. H. (2004). Robust Parameter Design: A Review. Quality and reliability engineering international, 20(1), 81-101. [DOI:10.1002/qre.602]

14. Sadeghi, S. and Talebi, H. (2020), Bayesian Criteria for Non-Zero Effects Detection Under Skew-Normal Search Model, REVSTAT-Statistical Journal, 18(3), 311-323.

15. Shirakura, T. Takahashi, T. and Srivastava, J. N. (1996). Searching Probabilities fsor Case, Ann. Statist, 24, no. 6, 2560-2568. [DOI:10.1214/aos/1032181169]

16. Srivastava, J.N. (1975). Designs for Searching Non-Negligible Effects, A Survey of Statistical Design and Linear Models, (J.N. Srivastava, ED.), 507-519, North-Holland, Amsterdam.

17. Stigler, S. M. (1971). Optimal Experimental Design for Polynomial Regression. Journal of the American Statistical Association, 66(334), 311-318. [DOI:10.1080/01621459.1971.10482260]

18. Taguchi, G. (1978). Off-Line and On-Line Quality Control Systems, Proceedings of International Conference on Quality Control, Tokyo,Japan.

19. Taguchi, G. (1987), System of Experimental Design. White Plains, NY: Unipub/Kraus.

20. Taguchi, G., and Y. Wu. (1980), Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Nagoya, Japan.

21. Talebi, H., and Esmailzadeh, N. (2011). Using Kullback-Leibler Distance for Performance Evaluation of Search Designs Comparison, Bulletin of the Iranian Mathematical Society, 37(4), 269-279.

22. Talebi, H., and Esmailzadeh, N. (2011). Weighted Searching Probability for Classes of Equivalent Search Designs Comparison. Communications in Statistics-Theory and Methods, 40(4), 635-647. [DOI:10.1080/03610920903391352]

23. Wu, J. and Hamada, M. (2009). Experiments, Planning, Analysis and Optimization, Wiley Series in Probability and Statistics.

24. Wu, C.F.J. and Y. Zhu (2003). Optimal Selection of Single Arrays for Parameter Design Experiments, Statistica Sinica, 13, 1179-1199.