| LTPDA Toolbox™ | contents | ![]() |
CDFPLOT makes cumulative distribution plot %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: Make cumulative distribution plot and calculate confidence intervals on the basis of the Kolmogorov-Smirnov test. CALL: cdfplot(a, pl) INPUT: a: are real valued AO Parameters Description VERSION: $Id: cdfplot.m,v 1.3 2011/07/08 09:45:35 luigi Exp $ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| Method Details | |
|---|---|
| Access | public |
| Defining Class | ao |
| Sealed | 0 |
| Static | 0 |
| Sets for this method … |
|---|
| empirical |
| normal |
| chi2 |
| f |
| gamma |
empirical |
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|---|---|---|---|
| no description | |||
| Key | Default Value | Options | Description |
| TESTDISTRIBUTION | 'EMPIRICAL' |
|
test data are compared with the giventest distribution. Available choices are:
|
| CONFLEVEL | 0.94999999999999996 | none | Confidence level for confidence interval calculations. |
| SHAPEPARAM | 1 | none | In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length. |
| FONTSIZE | 22 | none | Font size for axis |
| LINEWIDTH | 2 | none | Line Width |
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normal |
|||
|---|---|---|---|
| no description | |||
| Key | Default Value | Options | Description |
| TESTDISTRIBUTION | 'EMPIRICAL' |
|
test data are compared with the giventest distribution. Available choices are:
|
| CONFLEVEL | 0.94999999999999996 | none | Confidence level for confidence interval calculations. |
| SHAPEPARAM | 1 | none | In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length. |
| FONTSIZE | 22 | none | Font size for axis |
| LINEWIDTH | 2 | none | Line Width |
| MEAN | 0 | none | The mean of the normal distribution |
| STD | 1 | none | The standard deviation of the normal distribution |
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chi2 |
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|---|---|---|---|
| no description | |||
| Key | Default Value | Options | Description |
| TESTDISTRIBUTION | 'EMPIRICAL' |
|
test data are compared with the giventest distribution. Available choices are:
|
| CONFLEVEL | 0.94999999999999996 | none | Confidence level for confidence interval calculations. |
| SHAPEPARAM | 1 | none | In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length. |
| FONTSIZE | 22 | none | Font size for axis |
| LINEWIDTH | 2 | none | Line Width |
| DOF | 2 | none | Degrees of freedom of the chi square distribution |
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f |
|||
|---|---|---|---|
| no description | |||
| Key | Default Value | Options | Description |
| TESTDISTRIBUTION | 'EMPIRICAL' |
|
test data are compared with the giventest distribution. Available choices are:
|
| CONFLEVEL | 0.94999999999999996 | none | Confidence level for confidence interval calculations. |
| SHAPEPARAM | 1 | none | In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length. |
| FONTSIZE | 22 | none | Font size for axis |
| LINEWIDTH | 2 | none | Line Width |
| DOF1 | 2 | none | First degree of freedom of the F distribution |
| DOF2 | 2 | none | Second degree of freedom of the F distribution |
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gamma |
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|---|---|---|---|
| no description | |||
| Key | Default Value | Options | Description |
| TESTDISTRIBUTION | 'EMPIRICAL' |
|
test data are compared with the giventest distribution. Available choices are:
|
| CONFLEVEL | 0.94999999999999996 | none | Confidence level for confidence interval calculations. |
| SHAPEPARAM | 1 | none | In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length. |
| FONTSIZE | 22 | none | Font size for axis |
| LINEWIDTH | 2 | none | Line Width |
| SHAPE | 2 | none | Shape parameter (k) of the Gamma distribution |
| SCALE | 2 | none | Scale parameter (theta) of the Gamma distribution |
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| Some information of the method ao/cdfplot are listed below: | |
|---|---|
| Class name | ao |
| Method name | cdfplot |
| Category | Signal Processing |
| CVS Version | $Id: cdfplot.m,v 1.3 2011/07/08 09:45:35 luigi Exp $ |
| Min input args | 1 |
| Max input args | -1 |
| Min output args | 1 |
| Max output args | -1 |
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Method: ao/buildWhitener1D | Method: ao/cohere | ![]() |
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