In this paper we consider the problem where there is a randomized experimental design with several successive time measurements on each experimental unit. One approach to the analysis of such data is ...

Particular emphasis is put on variance component models (mixed models) and the application of group theory to the construction of orthogonal designs (fractional replicates of complete factorial ...

The results indicated a greater efficiency for α and RC designs, enabling more precise estimates of genotypic variance, greater precision in the prediction of genetic gain and consequently ...

Key Points The Taguchi Method is a way of designing experiments to see how they affect the variance of a process. Main effects and two-way interactions are the only ones considered in the Taguchi ...