Definition:Error Sum of Squares

Definition

Error sum of squares is a technique in analysis of variance.

It is defined as:

the sum of squares of deviations of the individual responses for each experimental unit from the mean response for all units receiving that treatment.

It is obtained by dividing the sum of squares by the number of degrees of freedom.

Also known as

Error sum of squares is also known as residual sum of squares.

Also see

• Definition:Between-Treatments Sum of Squares

• Results about error sum of squares can be found here.

Sources

• 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): analysis of variance (ANOVA)
• 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): analysis of variance (ANOVA)
• 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): error sum of squares