Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs

factorial and split-plot statistical designs

factorial and split-plot designs are two statistical procedures used to conduct agricultural field experiments. both designs are used frequently to quantify the main and interaction effects of two or more factors. however, split-plot design is recommended for specific situations depending on major and minor goals of the study, characteristics of the factors, and precision of statistical testing...

Split Plot and Strip Plot Designs

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Cost-penalized estimation and prediction evaluation for split-plot designs

Unbalanced and Minimal Point Equivalent Estimation Second-Order Split-Plot Designs

Restricting the randomization of hard-to-change factors in industrial experiments is often performed by employing a split-plot design structure. From an economic perspective, these designs minimize the experimental cost by reducing the number of resets of the hard-tochange factors. In this paper, unbalanced designs are considered for cases where the subplots are relatively expensive and the exp...

An Algorithm for Finding D-e cient Equivalent-Estimation Second-Order Split-Plot Designs

Many industrial experiments involve restricted rather than complete randomization. This often leads to the use of split-plot designs, which limit the number of independent settings of some of the experimental factors. These factors, named whole-plot factors, are often, in some way, hard to change. The remaining factors, called sub-plot factors, are easier to change. Their levels are therefore i...