词条 | least squares approximation |
释义 | least squares approximation statistics in statistics, a method for estimating the true value of some quantity based on a consideration of errors (error) in observations or measurements. In particular, the line (function) that minimizes the sum of the squared distances (deviations) from the line to each observation is used to approximate a relationship that is assumed to be linear. The method has also been generalized for use with nonlinear relationships. One of the first applications of the method of least squares was to settle a controversy involving the shape of the Earth. The English mathematician Isaac Newton (Newton, Sir Isaac) asserted in the Principia (1687) that the Earth has an oblate (grapefruit) shape due to its spin—causing the equatorial diameter to exceed the polar diameter by about 1 part in 230. In 1718 the director of the Paris Observatory, Jacques Cassini (Cassini, Jacques), asserted on the basis of his own measurements that the Earth has a prolate (lemon) shape. ![]() ![]() In 1805 the French mathematician Adrien-Marie Legendre (Legendre, Adrien-Marie) published the first known recommendation to use the line that minimizes the sum of the squares of these deviations—i.e., the modern least squares approximation. The German mathematician Carl Friedrich Gauss (Gauss, Carl Friedrich), who may have used the same method previously, contributed important computational and theoretical advances. The method of least squares is now widely used for fitting lines and curves to scatterplots (discrete sets of data). |
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