linear least squares造句
例句與造句
- The primary application of linear least squares is in data fitting.
- :This can be done using non-linear least squares.
- Also the non-linear least squares can provide accuracy estimates
- See linear least squares for a fully worked out example of this model.
- The whole system may then be solved with the linear least squares method.
- It's difficult to find linear least squares in a sentence. 用linear least squares造句挺難的
- This introduces many complications which are summarized in Differences between linear and non-linear least squares
- The relative simplicity of this expression is very useful in theoretical analysis of non-linear least squares.
- In linear least squares, linearity is meant to be with respect to parameters \ beta _ j, so
- This means that iterative non-linear fitting procedures need to be used in place of linear least squares.
- A few examples are linear least squares, smoothing splines, regression splines, local regression, kernel regression, and linear filtering
- where is the pseudoinverse of, which is formed by replacing every non-zero diagonal entry by its linear least squares problems.
- Non-linear least squares analysis may then be employed to obtain best fit values of the unknown rate constants to those equations.
- In practice it is better to use linear least squares to determine the two amount concentrations from measurements made at more than two wavelengths.
- This maximum log likelihood can be shown to be the same for more general least squares, even for non-linear least squares.
- Importantly, in " linear least squares ", we are not restricted to using a line as the model as in the above example.
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