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- W2353288051 abstract "The effect of model bias, i.e., the difference between working mod el and true model in regression analysis, was investigated. The results indicate d that the regression estimators, b and , will become biased estimators and th e significance of regression MS will not be tested validly when the model di ffer ence exists. However, this bias can be effectively prevented if the suitable rep lications on some experiment levels are set and the number of factor levels mus t as well be more than that of parameters estimated. As examples, the advantages and disadvantages of 7 regression designs were evaluated." @default.
- W2353288051 created "2016-06-24" @default.
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- W2353288051 date "2001-01-01" @default.
- W2353288051 modified "2023-09-24" @default.
- W2353288051 title "Model Bias and Its Prevention in Regression Analysis" @default.
- W2353288051 hasPublicationYear "2001" @default.
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