Residual sum of squares

Known as: Sum of squared residuals, Sum of squares of residuals, SSE 
In statistics, the residual sum of squares (RSS), also known as the sum of squared residuals (SSR) or the sum of squared errors of prediction (SSE… (More)
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Papers overview

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2010
2010
A core computation of many popular quantitative trait locus (QTL) methods for genetic mapping of complex traits is determining… (More)
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Highly Cited
2008
Highly Cited
2008
The external prediction capability of quantitative structure-activity relationship (QSAR) models is often quantified using the… (More)
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2008
2008
This paper considers multiple regression model with multivariate spherically symmetric errors to determine optimal β-expectation… (More)
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2006
2006
This paper proposes predictive inference for the multiple regression model with independent normal errors. The distributions of… (More)
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2006
2006
The multivariate location-scale model with a family of spherically contoured errors is considered for both realized and future… (More)
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2005
2005
Motivation: A core computation of many popular quantitative trait locus, QTL, mapping methods is determining the residual sum of… (More)
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Highly Cited
2000
Highly Cited
2000
In multiple regression it is shown that parameter estimates based on minimum residual sum of squares have a high probability of… (More)
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Highly Cited
1999
Highly Cited
1999
Proposed by Tibshirani (1996), the LASSO (least absolute shrinkage and selection operator) estimates a vector of regression… (More)
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1998
1998
Three fundamental concepts of science and statistics are entities, variables (which are formal representations of properties of… (More)
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Highly Cited
1994
Highly Cited
1994
We propose a new method for estimation in linear models. The 'lasso' minimizes the residual sum of squares subject to the sum of… (More)
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