2016arXiv (Cornell University)Open access

Yates's and Other Sums of Squares

Lynn Roy LaMotte

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Abstract

It is shown that the sum of squares by Yates's method of weighted squares of means is equivalent to numerator sums of squares formulated by other methods. These relations are established first for hypotheses about fixed effects in a general linear model, in the process showing how Yates's method can be extended. They are then illustrated in the unequal-subclass-numbers model for main effects and interaction effects of two factors.

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It is shown that the sum of squares by Yates's method of weighted squares of means is equivalent to numerator sums of squares formulated by other methods. These relations are established first for hypotheses about fixed effects in a general linear model, in the process showing how Yates's method can be extended. They are then illustrated in the unequal-subclass-numbers model for main effects and interaction effects of two factors.

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Available abstract

It is shown that the sum of squares by Yates's method of weighted squares of means is equivalent to numerator sums of squares formulated by other methods. These relations are established first for hypotheses about fixed effects in a general linear model, in the process showing how Yates's method can be extended. They are then illustrated in the unequal-subclass-numbers model for main effects and interaction effects of two factors.

Key concepts: Lack-of-fit sum of squares, Explained sum of squares, Residual sum of squares, Generalized least squares, Least-squares function approximation, Mathematics, Non-linear least squares, Total sum of squares

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