This research deals with the analysis of incomplete Latin square designs using the exact approach. Specifically, the study investigated the 4 × 4 Latin square designs with two missing observations without replication. In the research, the general regression significance test (i.e. the exact approach) was used to derive the estimation formulae of fitted parameters for the full and reduced linear statistical models, thereby simplifying the calculation process. In addition, the proposed exact approach-based formulae facilitate the determination of the treatment sum of squares and the error sum of squares, both of which are subsequently employed in the analysis of variance (ANOVA).
CITATION STYLE
Sirikasemsuk, K., & Leerojanaprapa, K. (2018). Analysis of two-missing-observation 4 × 4 latin squares using the exact approach. In Advances in Intelligent Systems and Computing (Vol. 566, pp. 69–81). Springer Verlag. https://doi.org/10.1007/978-3-319-60663-7_7
Mendeley helps you to discover research relevant for your work.