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LEAST SQUARES ADJUSTMENT OF DISSIMILAR QUANTITIES

J. E. Lilly

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Abstract

In the least squares adjustment of observations on quantities of different physical dimensions (such as angles and lengths) it is proposed that the concept “sum of the squares of the residuals” be replaced by the concept “sum of the squares of the reduced residuals”, where “reduced residual” is defined as the ratio of the residual to the probable error. This is equivalent to using weighted squares of residuals, and regarding weights as dimenflional quantities instead of pure numbers. The treatment is applied to a few simple cases, with satisfactory results.

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What this paper is about

In the least squares adjustment of observations on quantities of different physical dimensions (such as angles and lengths) it is proposed that the concept “sum of the squares of the residuals” be replaced by the concept “sum of the squares of the reduced residuals”, where “reduced residual” is defined as the ratio of the residual to the probable error. This is equivalent to using weighted squares of residuals, and regarding weights as dimenflional quantities instead of pure numbers. The treatment is applied to a few simple cases, with satisfactory results.

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Available abstract

In the least squares adjustment of observations on quantities of different physical dimensions (such as angles and lengths) it is proposed that the concept “sum of the squares of the residuals” be replaced by the concept “sum of the squares of the reduced residuals”, where “reduced residual” is defined as the ratio of the residual to the probable error. This is equivalent to using weighted squares of residuals, and regarding weights as dimenflional quantities instead of pure numbers. The treatment is applied to a few simple cases, with satisfactory results.

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

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