论文信息 - ON ROBUSTNESS OF DESIGNS AGAINST INCOMPLETE DATA

ON ROBUSTNESS OF DESIGNS AGAINST INCOMPLETE DATA

SUMMABY. In this paper, we characterize the robustness property of designs against incomplete data in the sense that, when any t (a positive integer) observations are missing, all parameters are still estimable in the model assumed. We also present some examples of Srivastava-Chopra Optimum balanced resolution V plans for 2m factorials which are robust against missing of any two observations.

Subir Ghosh | Subir Ghosh

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