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Orthogonal linear regression algorithm based on augmented matrix formulation

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Publication:1310050
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DOI10.1016/0305-0548(93)90104-QzbMath0783.90121MaRDI QIDQ1310050

Andrzej Bargiela, Joanna K. Hartley

Publication date: 17 March 1994

Published in: Computers \& Operations Research (Search for Journal in Brave)


zbMATH Keywords

hyperplane\(n\)-dimensional orthogonal linear regressionweighted least square problems


Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Computational methods for problems pertaining to operations research and mathematical programming (90-08) Probabilistic methods, stochastic differential equations (65C99)


Related Items (4)

Locating hyperplanes to fitting set of points: a general framework ⋮ \(l_p\)-recovery of the most significant subspace among multiple subspaces with outliers ⋮ THE BEST LEAST ABSOLUTE DEVIATIONS LINE – PROPERTIES AND TWO EFFICIENT METHODS FOR ITS DERIVATION ⋮ Robust computation of linear models by convex relaxation




Cites Work

  • An iterative linear programming solution to the Euclidean regression model




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