About: Weighted least squares

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Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge of the variance of observations is incorporated into the regression.WLS is also a specialization of generalized least squares.

Attributes	Values
rdfs:label	Weighted least squares (en)
rdfs:comment	Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge of the variance of observations is incorporated into the regression.WLS is also a specialization of generalized least squares. (en)
dct:subject	Least squares
Wikipage page ID	2407860 (xsd:integer)
Wikipage revision ID	1120193889 (xsd:integer)
Link from a Wikipage to another Wikipage	Non-linear least squares Variance Degrees of freedom (statistics) Standard deviation Multiplicative inverse Correlated Covariance Gauss–Markov theorem Outlier Generalized least squares Reduced chi-squared Studentized residual Idempotent matrix Identity matrix Student's t-distribution Central limit theorem Errors and residuals in statistics Linear regression Sampling error Alexander Aitken Normal distribution Diagonal matrix Iteratively reweighted least squares Pearson product-moment correlation coefficient Hat matrix Heteroscedasticity-consistent standard errors Covariance matrix Systematic errors Least squares Weighted mean Whitening transformation Ordinary least squares Heteroscedasticity Feasible generalized least squares Entrywise division Variance-covariance matrix Chebychev's inequality Random errors Error propagation Best linear unbiased estimator
sameAs	Weighted least squares Weighted least squares
dbp:wikiPageUsesTemplate	dbt:Regression_bar dbt:Anchor dbt:Main_article dbt:Reflist dbt:Sup dbt:Cleanup_split
has abstract	Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge of the variance of observations is incorporated into the regression.WLS is also a specialization of generalized least squares. (en)
prov:wasDerivedFrom	wikipedia-en:Weighted_least_squares?oldid=1120193889&ns=0
page length (characters) of wiki page	13498 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Weighted_least_squares
is rdfs:seeAlso of	Weighted arithmetic mean
is Link from a Wikipage to another Wikipage of	Inverse-variance weighting Whittle likelihood Projection pursuit regression Coefficient of determination Gaussian function Generalized least squares Generalized method of moments Conway–Maxwell–Poisson distribution Structural equation modeling Comparison of statistical packages Weighted arithmetic mean Linear least squares Linear probability model Linear regression Linear trend estimation Local regression Fityk Breusch–Pagan test Normal distribution Iteratively reweighted least squares Principal component analysis Nonlinear regression Precision (statistics) Recursive least squares filter Heteroskedasticity-consistent standard errors Homoscedasticity and heteroscedasticity Whitening transformation Reduced chi-squared statistic Point-set registration FreeFlyer Ordinary least squares Radial basis function Vector generalized linear model WLS Linear regression (disambiguation) Moving least squares Polynomial regression Video super-resolution Weight matrix Weighted linear least squares Weighted regression
is Wikipage redirect of	Weight matrix

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