Linked from

The 68 pages that link to Least squares, each with the reason it gives.

• Matrix theoryRelated: Matrix factorizations solve overdetermined data-fitting problems efficiently.

• Maximum and minimumRelated: Its fitted values are defined through a minimum of an error function.

• Ragnar FrischRelated: Econometric estimation connected Frisch's theoretical equations to observed economic measurements.

• Coefficient of determinationNarrower topic: The usual R² formula follows naturally from least-squares variance decomposition.

• Friedrich Wilhelm BesselRelated: Bessel used least-squares methods to combine observations and estimate astronomical quantities.

• Gauss–Markov theoremNarrower topic: The theorem belongs to the theory that justifies least-squares estimation.

• Euclidean vectorRelated: Its geometric solution projects data onto a subspace using Euclidean inner products.

• Fundamental theorem of linear algebraRelated: The residual lies in the left null space of the coefficient matrix.

• Simon NewcombRelated: It provided a systematic way to fit astronomical theories to measurements.

• Nonlinear least squaresNarrower topic: Nonlinear least squares is its parameter-nonlinear form.

• Apollonius's theoremRelated: The midpoint identity helps explain why averages minimize sums of squared distances.

• Dimensional metrologyRelated: It is commonly used to fit geometric features to measured points.

• History of statisticsRelated: Its early use in astronomy made error minimization a practical tool for extracting measurements.

• Bienaymé's identityRelated: Bienaymé studied statistical estimation, where variance calculations help assess errors.

• Frisch–Waugh–Lovell theoremNarrower topic: Ordinary least squares and the theorem's projection interpretation rest on this principle.

• Gladys WestRelated: Geodetic modeling uses estimation methods such as least squares to fit measurements to a mathematical Earth model.

• Infimum and supremumCompared with: Optimization often seeks an attained minimum, unlike an infimum that may not be attained.

• Rouché–Capelli theoremCompared with: When ranks differ, least squares finds an approximation rather than an exact solution.