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least squares produces what is known as the maximum-likelihood estimate of the pa-rameters. Even if the probabilistic assumptions are not satisfied, years of experience have shown that least squares produces useful results. The computational techniques for linear least squares problems make use of orthogonal matrix factorizations. 5.1 Models ...
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