An important model belonging to the class of general linear hypothesis is the analysis of variance (ANOVA) model. In this model, we consider the assessment of treatment effects by considering sample experiments of sizes , , , , respectively, with the responses which satisfy the model, (, ). The main objective of the chapter is the selection of the treatments which would yield best results. Accordingly, we consider the penalty estimators, namely, ridge, subset selection rule, and least absolute shrinkage and selection operator (LASSO) together with the classical ...
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