When can Levenberg-Marquardt fitting algorithm be used with least absolute residuals (LAR) method and not...
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I am sorry for asking a trivial question but though I have found an answer in the following link, I would like to know some more insight on the situations when one residual minimizing method is used over other. And is it actually required to use LAR or bisquare method to find a good fitting parameters for a function?
Explanation about LAR and Bisquare method from Mathworks
I am using Matlab's curve fitting toolbox to find two fitting parameters for a non-linear function that I am used to fit over an experimental data.
The Matlab's curve fitting tool box image is shown here with the available options.
I am not able to understand what the Robust residual minimization is doing. And which one should I use.
Since each of my experimental data is equally important, then can I assume that there's no outlier so, LAR method should be good enough to be used?
Thanks!
matlab least-squares weighted-least-squares
asked Nov 15 at 19:20
rcty
12
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up vote
0
down vote
favorite
I am sorry for asking a trivial question but though I have found an answer in the following link, I would like to know some more insight on the situations when one residual minimizing method is used over other. And is it actually required to use LAR or bisquare method to find a good fitting parameters for a function?
Explanation about LAR and Bisquare method from Mathworks
I am using Matlab's curve fitting toolbox to find two fitting parameters for a non-linear function that I am used to fit over an experimental data.
The Matlab's curve fitting tool box image is shown here with the available options.
I am not able to understand what the Robust residual minimization is doing. And which one should I use.
Since each of my experimental data is equally important, then can I assume that there's no outlier so, LAR method should be good enough to be used?
Thanks!
matlab least-squares weighted-least-squares
asked Nov 15 at 19:20
rcty
12
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am sorry for asking a trivial question but though I have found an answer in the following link, I would like to know some more insight on the situations when one residual minimizing method is used over other. And is it actually required to use LAR or bisquare method to find a good fitting parameters for a function?
Explanation about LAR and Bisquare method from Mathworks
I am using Matlab's curve fitting toolbox to find two fitting parameters for a non-linear function that I am used to fit over an experimental data.
The Matlab's curve fitting tool box image is shown here with the available options.
I am not able to understand what the Robust residual minimization is doing. And which one should I use.
Since each of my experimental data is equally important, then can I assume that there's no outlier so, LAR method should be good enough to be used?
Thanks!
matlab least-squares weighted-least-squares
asked Nov 15 at 19:20
rcty
12
I am sorry for asking a trivial question but though I have found an answer in the following link, I would like to know some more insight on the situations when one residual minimizing method is used over other. And is it actually required to use LAR or bisquare method to find a good fitting parameters for a function?
Explanation about LAR and Bisquare method from Mathworks
I am using Matlab's curve fitting toolbox to find two fitting parameters for a non-linear function that I am used to fit over an experimental data.
The Matlab's curve fitting tool box image is shown here with the available options.
I am not able to understand what the Robust residual minimization is doing. And which one should I use.
Since each of my experimental data is equally important, then can I assume that there's no outlier so, LAR method should be good enough to be used?
Thanks!
matlab least-squares weighted-least-squares
matlab least-squares weighted-least-squares
asked Nov 15 at 19:20
rcty
12
asked Nov 15 at 19:20
rcty
12
asked Nov 15 at 19:20
rcty
12
asked Nov 15 at 19:20
rcty
12
asked Nov 15 at 19:20
rcty
12
12
add a comment |
add a comment |
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