Method mfh/paramCovMat
paramCovMat calculate the covariace matrix for the parameters.
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INPUTS:
- func. The function
- p0. The set of parameters. (double vector).
- DerivStep. The set of derivative steps. (doble vactor).
- mse. Mean Square Error. (Chi^2).
OUTPUTS:
- cov. Covariance matrix for the parameters.
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Method Details |
|
Access |
public |
Defining Class |
mfh |
Sealed |
0 |
Static |
0 |
Parameter Description
Sets for this method … |
Default |
Default |
no description |
Key |
Default Value |
Options |
Description |
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Some information of the method mfh/paramCovMat are listed below: |
Class name |
mfh |
Method name |
paramCovMat |
Category |
Signal Processing |
Package name |
ltpda |
VCS Version |
175910878ca914560542d679d9d392de37438d84 |
Min input args |
1 |
Max input args |
-1 |
Min output args |
1 |
Max output args |
-1 |
|
Method: mfh/getJacobian |
|
Method: mfh/testHessianMatrix |
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©LTP Team