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error sum of squares

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error sum of squares [¦er·ər ¦səm əv ¦skwerz]
(statistics)
In analysis of variance, the sum of squares of the estimates of the contribution from the stochastic component. Also known as residual sum of squares.


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For forecasting performance of the structural model, Root Mean Prediction Error Sum of Squares (RMPESS) is used.
Ward's method combines clusters that will yield the least increase in the error sum of squares (the sum of the distance from each individual profile to the centroid of its parent cluster) and minimizes within cluster variance in effecting cluster mergers (Wishart, 1978).
 
 
 
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