Multivariate extension to models of sudoku square design using real-life data

Abstract

Sudoku square design consists of treatments that are arranged in a square array such that each row, column or sub-square of the design contains each of the treatments only once. Several univariate analysis of variance models were presented in the literature for the design, but no attention is paid on the multivariate analysis of the design. This study proposed multivariate extension to univariate models of Sudoku square models, Sum of squares for various effects and MANOVA of Sudoku square design as well as multivariate test of significant were carried out.