SISVAR: A COMPUTER ANALYSIS SYSTEM TO FIXED EFFECTS SPLIT PLOT TYPE DESIGNS

Daniel Furtado Ferreira

doi:10.28951/rbb.v37i4.450

Abstract

This paper presents a special capability of Sisvar to deal with fixed effect models with several restriction in the randomization procedure. These restrictions lead to models with fixed treatment effects, but with several random errors. 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 structure for the error terms. Another way is to perform a analysis of variance with several error. These kind of analysis, when the data are balanced, can be done by using Sisvar. The software lead a exact $F$ test for the fixed effects and allow the user to applied multiple comparison procedures or regression analysis for the levels of the fixed effect factors, regarding they are single effects, interaction effects or hierarchical effects. Sisvar is an interesting statistical computer system for using in balanced agricultural and industrial data sets.

Keywords

Random effects modelAnalysis of covarianceCovarianceFixed effects modelType I and type II errorsComputer scienceVariance (accounting)Regression analysisAlgorithmMathematicsStatisticsMeta-analysisPanel data

Affiliated Institutions

Universidade Federal de Lavras BR

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Publication Info

Year: 2019
Type: article
Volume: 37
Issue: 4
Pages: 529-535
Citations: 1258
Access: Closed

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APA Style

                            
                                    Daniel Furtado Ferreira
                                
                            (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

Identifiers

DOI: 10.28951/rbb.v37i4.450