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• Least squares
  '''Least squares''', also known as '''ordinary least squares''' analysis, is a method for [[linear regression]] that determines the valu ...r minimizing [[energy]] or maximizing [[Information entropy|entropy]]. The least squares method is particularly important in estimation of model parameters from mea
  2 KB (296 words) - 08:11, 28 November 2007
• Least squares/Approval
  12 bytes (1 word) - 02:55, 22 December 2007
• Least squares approximation
  #REDIRECT [[Least squares]]
  27 bytes (3 words) - 22:55, 23 November 2007
• Ordinary least squares
  #REDIRECT [[Least squares]]
  27 bytes (3 words) - 23:15, 23 November 2007
• Least squares/Definition
  237 bytes (34 words) - 09:20, 4 September 2009
• Weighted least squares
  ...nts have greater effect on the approximation than the others. The weighted least squares method is particularly important in function approximation and in estimatio ...t the model best fits the data according to a defined error criterion. The least squares method [[Function minimization|minimizes]] the weighted sum of squares of e
  2 KB (281 words) - 19:20, 17 January 2008
• Moving least squares
  ...f eventually unorganized point samples via the calculation of a weighted [[least squares]] measure biased towards the region around the point at which the approxima In [[computer graphics]], the moving least squares method is useful for reconstructing a surface from a set of points. Often i
  2 KB (299 words) - 19:18, 17 January 2008
• Moving least squares approximation
  #REDIRECT [[Moving least squares]]
  34 bytes (4 words) - 08:21, 28 November 2007
• Moving least squares/Approval
  12 bytes (1 word) - 03:09, 22 December 2007
• Weighted least squares/Approval
  12 bytes (1 word) - 03:15, 22 December 2007
• Least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Least squares]]. Needs checking by a human. {{r|Moving least squares}}
  548 bytes (70 words) - 18:01, 11 January 2010
• Moving least squares/Definition
  ...from a set of unorganized point samples via the calculation of a weighted least squares measure biased towards the region around the point at which the reconstruct
  268 bytes (38 words) - 10:03, 4 September 2009
• Weighted least squares/Definition
  179 bytes (26 words) - 21:00, 4 September 2009
• Weighted least squares approximation
  #REDIRECT [[Weighted least squares]]
  36 bytes (4 words) - 08:20, 28 November 2007
• Weighted least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Weighted least squares]]. Needs checking by a human. {{r|Least squares}}
  501 bytes (64 words) - 21:38, 11 January 2010
• Moving least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Moving least squares]]. Needs checking by a human. {{r|Least squares}}
  497 bytes (64 words) - 18:41, 11 January 2010

Page text matches

• Weighted least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Weighted least squares]]. Needs checking by a human. {{r|Least squares}}
  501 bytes (64 words) - 21:38, 11 January 2010
• Moving least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Moving least squares]]. Needs checking by a human. {{r|Least squares}}
  497 bytes (64 words) - 18:41, 11 January 2010
• Least squares/Related Articles
  Auto-populated based on [[Special:WhatLinksHere/Least squares]]. Needs checking by a human. {{r|Moving least squares}}
  548 bytes (70 words) - 18:01, 11 January 2010
• Least squares
  '''Least squares''', also known as '''ordinary least squares''' analysis, is a method for [[linear regression]] that determines the valu ...r minimizing [[energy]] or maximizing [[Information entropy|entropy]]. The least squares method is particularly important in estimation of model parameters from mea
  2 KB (296 words) - 08:11, 28 November 2007
• Least squares approximation
  #REDIRECT [[Least squares]]
  27 bytes (3 words) - 22:55, 23 November 2007
• Ordinary least squares
  #REDIRECT [[Least squares]]
  27 bytes (3 words) - 23:15, 23 November 2007
• Weighted least squares approximation
  #REDIRECT [[Weighted least squares]]
  36 bytes (4 words) - 08:20, 28 November 2007
• Moving least squares approximation
  #REDIRECT [[Moving least squares]]
  34 bytes (4 words) - 08:21, 28 November 2007
• Weighted least squares
  ...nts have greater effect on the approximation than the others. The weighted least squares method is particularly important in function approximation and in estimatio ...t the model best fits the data according to a defined error criterion. The least squares method [[Function minimization|minimizes]] the weighted sum of squares of e
  2 KB (281 words) - 19:20, 17 January 2008
• Moving least squares
  ...f eventually unorganized point samples via the calculation of a weighted [[least squares]] measure biased towards the region around the point at which the approxima In [[computer graphics]], the moving least squares method is useful for reconstructing a surface from a set of points. Often i
  2 KB (299 words) - 19:18, 17 January 2008
• Function approximation
  *[[Least squares approximation]] *[[Moving least squares]]
  979 bytes (131 words) - 19:21, 17 January 2008
• Optimization (mathematics)/Related Articles
  {{r|Weighted least squares}}
  137 bytes (16 words) - 21:29, 10 March 2008
• Moving least squares/Definition
  ...from a set of unorganized point samples via the calculation of a weighted least squares measure biased towards the region around the point at which the reconstruct
  268 bytes (38 words) - 10:03, 4 September 2009
• Function approximation/Related Articles
  *[[Least squares approximation]]
  160 bytes (14 words) - 05:52, 9 June 2008
• Approximation theory/Related Articles
  {{r|Least squares}}
  823 bytes (110 words) - 08:09, 22 September 2008
• Matrix
  === [[Least Squares]] problems === ...nts were first studied by [[Carl Fredrich Gauss| Gauss]] and he developed "Least Squares" to find solutions that were "close" to the systems the data described. Th
  15 KB (2,209 words) - 02:10, 14 February 2010
• Adrien-Marie Legendre
  ...method]] of fitting a curve to observational data. [[Gauss]] published the least squares method in 1809 and, while acknowledging that it appeared in Legendre's book
  6 KB (854 words) - 09:52, 24 July 2011
• Image registration
  ...similarity or error measure quantifying the quality of the match (e.g., [[least squares]], [[correlation ratio]]),
  3 KB (370 words) - 10:07, 18 September 2009
• Thomas L. Saaty/Works
  *''Comparison of Eigenvalue, Logarithmic Least Squares and Least Squares Methods in Estimating Ratios,'' Thomas L. Saaty, Luis Vargas, Mathematical
  20 KB (2,860 words) - 15:11, 2 October 2007
• Normal distribution
  ...on in the [[analysis of errors]] of experiments. The important [[method of least squares]] was introduced by [[Adrien Marie Legendre|Legendre]] in 1805. [[Carl Frie
  46 KB (6,956 words) - 07:01, 9 June 2009