This paper presents a special capability of Sisvar to deal with fixed-effect models with several restrictions in the randomization procedure. These restrictions lead to models with fixed treatment effects, but with several specifications of the error structure. One way do deal with models of this kind is to perform a mixed model analysis, considering only the error effects in the model as random effects and with different covariance structures for the error terms. Another way is to perform an analysis of variance with several errors. These kinds of analysis, for balanced and orthogonal designs, can be done by using Sisvar. The software leads an exact F test for the fixed effects and allows the user to apply multiple comparison procedures or regression analysis for the factor levels of fixed effects, and also in crossed and nested classifications. Sisvar is an interesting statistical computer system for using in balanced and orthogonal agricultural and industrial applications.
CITATION STYLE
Ferreira, D. F. (2019). SISVAR: A COMPUTER ANALYSIS SYSTEM TO FIXED EFFECTS SPLIT PLOT TYPE DESIGNS. Revista Brasileira de Biometria, 37(4), 529–535. https://doi.org/10.28951/rbb.v37i4.450
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