Béda révisi "Analisis varian"

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*Mixed models describe situations where both fixed and random effects are present.
 
The fundamental technique is a partitioning of the total sum of squares into components related to the effects in the model used. For example, we show the model for a simplified ANOVA with one type of treatment at different levels. (If the treatment levels are quantitative and the effects are linear, a [[regresirégrési linierliniér]] analysis may be appropriate.)
 
: <math>SS_{\hbox{Total}} = SS_{\hbox{Error}} + SS_{\hbox{Treatments}}</math>
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