Factorial and response surface designs robust to missing observations

Preferred Robust Response Surface Design with Missing Observations Based on Integrated TOPSIS-AHP Method

- Missing observations occur in experimental designs as a result of insufficient sampling, machine breakdown, high cost, and errors in the measurements. In nanomanufacturing, missing observations often appear in designs because the combination of factors or molecular structures selected by a designer cannot be experimented successfully. In the current paper, Box-Behnken and face-centered compos...

Model-Robust Factorial Designs

microleakage evaluation in regard to cavo-surface designs & treatments

چکیده ندارد.

Robustness of classical and optimal designs to missing observations

Missing observations are not uncommon in real-world experiments. Consequently, the robustness of an experimental design to one or more missing runs is an important characteristic of the design. Results of an evaluation of the robustness of classical and optimal designs to missing observations are presented, and optimal designs fare relatively well in terms of robustness compared to classical de...

Small Robust Response-Surface Designs for Quantitative and Qualitative Factors

Alphabet Source Coding Theorem Revisited En-hui Yang and Zhen Zhang * University of Waterloo, Ontario CANADA, e-mail: [email protected] **University of Southern California, Los Angeles, CA 90089, USA, [email protected] The abstract alphabet source coding theorem is revisited. For coding at a fixed rate level, it is shown that for any fixed rate R > 0 and any memoryless abstract alphab...