SciELO - Scientific Electronic Library Online

 
vol.56 issue4Feeding preference of bedbugs for fruits and floral buds of passion fruit genotypesProduction of onion bulb sets in styrofoam trays author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Scientia Agricola

On-line version ISSN 1678-992X

Abstract

PERRI, Sílvia Helena Venturoli  and  IEMMA, Antonio Francisco. Procedure of software SAS® for the analysis of mixed models. Sci. agric. [online]. 1999, vol.56, n.4, pp.959-967. ISSN 1678-992X.  http://dx.doi.org/10.1590/S0103-90161999000400025.

The mixed model is an important class of models that is traditionally analyzed by procedures of analysis of variance. Three aspects are fundamental in the mixed models: estimation and tests of the hypotheses of the fixed effects, prediction of the random effects and estimation of the components of variance. In the analysis of unbalanced mixed linear models, the estimation of variance components is of fundamental importance and it depends on the covariance structure and methods of estimation used. In such a context, this article intends to present the main methods of estimation and analysis used in the study of mixed linear models with general covariance structures in the random effects, available in the MIXED procedure, of the SAS (Statistical Analysis System).

Keywords : SAS; MIXED procedure; mixed models; variance components.

        · abstract in Portuguese     · text in Portuguese

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License