Variance plus bias optimal response surface designs with qualitative factors applied to stem choice modeling
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75 citations
Cites methods from "Variance plus bias optimal response..."
...Developing response models using qualitative and quantitative factors have been reported in several studies [34–36]; however, the technique has not been applied extensively in science and engineering applications....
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24 citations
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Cites background from "Variance plus bias optimal response..."
...Draper (1982), Borkowski (2003) and Allen and Tseng (2011) conducted the further studies in the context of the I-optimality criterion....
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...On the contrary, Box and Draper (1959) was offered the I-optimality criterion. This criterion focuses on the integrated variance function over a studied design region. Draper (1982), Borkowski (2003) and Allen and Tseng (2011) conducted the further studies in the context of the I-optimality criterion....
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...Draper (1982), Borkowski (2003) and Allen and Tseng (2011) conducted the further studies in the context of the I-optimality criterion. Furthermore, Toro Diaz et al. (2012) and Myers et al. (2016) reviewed the existing studies and provided theoretical aspects of computer-aided optimal experimental designs....
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...Draper (1982), Borkowski (2003) and Allen and Tseng (2011) conducted the further studies in the context of the I-optimality criterion. Furthermore, Toro Diaz et al. (2012) and Myers et al....
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...On the contrary, Box and Draper (1959) was offered the I-optimality criterion....
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3 citations
Cites background from "Variance plus bias optimal response..."
...Allen and Tseng (2011) conducted the further research study in the field of optimal experimental designs and developed variance plus bias optimal experimental designs for stem choice modelling....
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References
2,215 citations
1,306 citations
"Variance plus bias optimal response..." refers background in this paper
...The IMSE criterion in Equation (10) is difficult to apply since it requires the assumption that 2 is known....
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697 citations
"Variance plus bias optimal response..." refers background in this paper
...It is easy to show that the expected bias, Tr[K2 ], in Equation (8) is proportional to 2 and, therefore, as the degree of model misspecification increases, so will any gaps in EIMSE values between the various designs....
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521 citations
"Variance plus bias optimal response..." refers background in this paper
...In all other cases the fitted models of the model form in Equation (4)....
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...For example, consider a hypothetical situation in which commercial constraints forced the team to focus on a fitted model similar to Equation (4), but with fewer terms....
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241 citations
"Variance plus bias optimal response..." refers background or methods in this paper
...Then, the four rounds were simulated using Equation (17) for each student....
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...the impact model in Equation (17) is designed to emulate peer pressure....
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...375 k i∈Qk,i =j[Si / (di −dj)(2)] for k =1, 2 and l =1, 2 (17)...
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