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Communications in Statistics - Theory and Methods Volume 51, 2022 - Issue 20
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Articles

Effects of missing observations on predictive capability of augmented Box-Behnken designs

Fareeha Rashida Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
,
Atif Akbara Department of Statistics, Bahauddin Zakariya University, Multan, PakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3227-9731
ORCID Icon &
Hafiz Muhammad Arshadb Department of Management Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
Pages 7225-7242 | Received 16 Oct 2019, Accepted 31 Dec 2020, Published online: 14 Mar 2021

References

  • Ahmad, T., and S. G. Gilmour. 2010. Robustness of subset response surface designs to missing observations. Journal of Statistical Planning and Inference 140 (1):92–103. doi:10.1016/j.jspi.2009.06.011.
  • Akhtar, M. 2001. Five- Factor Central Composite Designs Robust to a Pair of Missing Observations. Journal of Research (Science) 12:105–15.
  • Akhtar, M., and P. Prescott. 1986. Response Surface Designs Robust to Missing Observations. Communications in Statistics - Simulation and Computation 15 (2):345–63. doi:10.1080/03610918608812512.
  • Akram, M. 2002. Central Composite Designs Robust to Three Missing Observations Unpublished Ph. D. Thesis., Islamia University Bahawalpur, Pakistan.
  • Akram, M., M. Akhtar, and M. H. Tahir. 2003. Comparison of Different Central Composite Designs. International Journal of Agriculture and Biology 4:571–75.
  • Arshad, H. M., M. Akhtar, and S. G. Gilmour. 2012. Augmented Box-Behnken designs for fitting third order response surfaces. Communications in Statistics - Theory and Methods 41 (23):4225–39. doi:10.1080/03610926.2011.568154.
  • Box, G. E. P., and J. S. Hunter. 1957. Multi-Factor Experimental Designs for Exploring Response Surfaces. The Annals of Mathematical Statistics 28 (1):195–241. doi:10.1214/aoms/1177707047.
  • Box, G. E. P., and N. R. Draper. 1959. A basis for the selection of a response surface designs. Journal of the American Statistical Association 54 (287):622–54. doi:10.1080/01621459.1959.10501525.
  • Box, G. E. P., and N. R. Draper. 1963. The choice of a second order rotatable design. Biometrika 50 (3-4):335–52. doi:10.2307/2333904.
  • Herzberg, A. M., P. Prescott, and M. Akhtar. 1987. Equi-Information Robust Designs: Which Designs Are Possible? The. Canadian Journal of Statistics 15 (1):71–76. doi:10.2307/3314863.
  • Rashid, F., A. Akbar, and Z. Zafar. 2019. Some New Third Order Designs Robust to One Missing Observation. Communications in Statistics: Theory and Methods 16:1–9.
  • Yakubu, Y., A. U. Chukwu, B. T. Adebayo, and A. G. Nwanzo. 2015. Effects of Missing Observations on Predictive Capability of Central Composite Designs. International Journal on Computational Sciences and Applications arXiv:1603.09716.

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