1. The least squares method is one way to compare the deviations. 2. Coefficients of these models are estimated by the least squares method . 3. Clearly, the least squares method leads to many interesting observations being masked. 4. The whole system may then be solved with the linear least squares method . 5. In this case, the calculation is adjusted with the Gaussian least squares method . 6. One example of a maximum likelihood method commonly used in engineering is the least squares method . 7. Since you are using least squares method , I assume you don't need an exact fit. 8. LOESS is also prone to the effects of outliers in the data set, like other least squares methods . 9. In computer graphics, the moving least squares method is useful for reconstructing a surface from a set of points. 10. Once the surveyor has calculated the level of the errors in his work, it is Principle of least squares method .
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