Robustness of Higher Levels Rotatable Designs for Two Factors against Missing Data


  • Nyakundi Omwando Cornelious Moi University, Eldoret Kenya
  • Evans Mbuthi Kilonzo Moi University, Eldoret Kenya



Robustness Criterion, Missing Data, Four and Five Level Designs, Second Order Rotatability


Experimenters should be aware of the possibility that some of their observations may be unavailable for analysis. This paper considers a criterion that assesses the robustness for missing data when running four and five levels designs in estimating a full second-order polynomial model. The criterion gives the maximum number of runs that can be missing and still allow the remaining runs to estimate a second-order model for four and five levels.


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How to Cite

Nyakundi Omwando Cornelious, & Evans Mbuthi Kilonzo. (2021). Robustness of Higher Levels Rotatable Designs for Two Factors against Missing Data. International Journal of Advances in Scientific Research and Engineering (e-ISSN 2454-8006), 7(4), 80-83.