Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:abbreviation |
gptkb:OLS
|
| gptkbp:appliesTo |
linear models
|
| gptkbp:assumes |
errors are uncorrelated
errors have zero mean errors are homoscedastic independent variables are non-stochastic |
| gptkbp:field |
gptkb:machine_learning
statistics econometrics |
| https://www.w3.org/2000/01/rdf-schema#label |
ordinary least squares
|
| gptkbp:introduced |
gptkb:Carl_Friedrich_Gauss
gptkb:Adrien-Marie_Legendre |
| gptkbp:reduces |
sum of squared residuals
|
| gptkbp:relatedTo |
gptkb:generalized_least_squares
gptkb:multiple_linear_regression gptkb:Gauss-Markov_theorem maximum likelihood estimation ridge regression |
| gptkbp:usedFor |
linear regression
|
| gptkbp:yield |
best linear unbiased estimator
|
| gptkbp:bfsParent |
gptkb:Frisch–Waugh_theorem
gptkb:Gauss–Markov_theorem gptkb:Least_squares_method gptkb:Linear_regression gptkb:2SLS gptkb:Ridge_regression gptkb:Gauss-Markov_theorem |
| gptkbp:bfsLayer |
7
|