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bn:00892554n
Noun Concept
Categories: Parametric statistics, Least squares
EN
ordinary least squares  Ordinary Least Squares Regression  Large Sample Properties  Least-squares estimation of linear regression coefficients  Least-squares normal matrix
EN
In statistics, ordinary least squares is a type of linear least squares method for choosing the unknown parameters in a linear regression model by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable in the input dataset and the output of the function of the independent variable. Wikipedia
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EN
In statistics, ordinary least squares is a type of linear least squares method for choosing the unknown parameters in a linear regression model by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable in the input dataset and the output of the function of the independent variable. Wikipedia
A method used in regression analysis for estimating linear models Wikipedia Disambiguation
Method for estimating the unknown parameters in a linear regression model Wikidata
IS A
least squares
statistical analysis
PART OF
statistics
DISCOVERER OR INVENTOR
Gauss
Adrien-Marie Legendre
Wikipedia
EN
ordinary least squares
Wikidata
EN
ordinary least squares
Wikipedia Redirections
EN
Large Sample Properties, Least-squares estimation of linear regression coefficients, Least-squares normal matrix, Linear least squares fit, OLS regression, Ordinary least square, Ordinary Least Squares, Ordinary least squares regression, Ordinary Least Squares Regression, Ordinary list squares, Partitioned regression, standard error of the equation
Wikidata Alias
EN
linear least squares, OLS

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