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 |
f3f3872c69c1252d198e87288372d1367fc6ceec |
| Min input args |
1 |
| Max input args |
-1 |
| Min output args |
1 |
| Max output args |
-1 |
|
Method: mfh/loglikelihood |
|
Method: mfh/testHessianMatrix |
 |
©LTP Team