Generalized least squares

Known as: Feasible generalized least squares, Generalized least-squares, Feasible GLS 
In statistics, generalized least squares (GLS) is a technique for estimating the unknown parameters in a linear regression model. GLS can be used to… (More)
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Topic mentions per year

Topic mentions per year

1967-2018
010203019672018

Papers overview

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2011
2011
Variables in high-dimensional data sets common in neuroimaging, spatial statistics, time series and genomics often exhibit… (More)
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2010
2010
Based on the problem how to model linear models with different batches of samples and information, the paper raises the method of… (More)
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2009
2009
The estimation of parametric global motion had a significant attention during the last two decades, but despite the great efforts… (More)
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2009
2009
This paper considers GLS estimation of linear panel models when the innovation and the regressors can both contain a factor… (More)
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Highly Cited
2007
Highly Cited
2007
A method for the simultaneous co-registration and georeferencing of multiple 3D pointclouds and associated intensity information… (More)
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2001
2001
For a probability distribution with power law tails, a log–log transformation makes the tails of the empirical distribution… (More)
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1998
1998
The method of generalized least squares provides a flexible method of phylogenetic reconstruction from sequence data, after… (More)
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1997
1997
Generalized least squares (GLS) regional regression procedures have been developed for estimating river flow quantiles. A widely… (More)
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1994
1994
This paper deals with the general possibly singular linear model. It is assumed that in addition to the sample information we… (More)
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1989
1989
Abstruct-The application of the generalized least squares (GLS) method to the estimation of the frequencies of sinusoids in… (More)
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