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- Q2246261 subject Q7157387.
- Q2246261 subject Q8646998.
- Q2246261 abstract "In statistics, generalized least squares (GLS) is a technique for estimating the unknown parameters in a linear regression model. GLS can be used to perform linear regression when there is a certain degree of correlation between the residuals in a regression model. In these cases, ordinary least squares and weighted least squares can be statistically inefficient, or even give misleading inferences. GLS was first described by Alexander Aitken in 1934.".
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- Q2246261 wikiPageWikiLink Q7157387.
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- Q2246261 wikiPageWikiLink Q772232.
- Q2246261 wikiPageWikiLink Q8646998.
- Q2246261 wikiPageWikiLink Q938438.
- Q2246261 comment "In statistics, generalized least squares (GLS) is a technique for estimating the unknown parameters in a linear regression model. GLS can be used to perform linear regression when there is a certain degree of correlation between the residuals in a regression model. In these cases, ordinary least squares and weighted least squares can be statistically inefficient, or even give misleading inferences. GLS was first described by Alexander Aitken in 1934.".
- Q2246261 label "Generalized least squares".