Global |
The GlobalFittedParameter type exposes the following members.
Name | Description | |
---|---|---|
GlobalFittedParameter | Constructs a GlobalFittedParameter object from the given information. |
Name | Description | |
---|---|---|
DataSetIndex | Gets the index of the data set that corresponds to this parameter estimate. Note that this is relevent only if the parameter is not shared. | |
DegreesOfFreedom | Gets the degrees of freedom. | |
Description |
Get and sets the parameter description.
(Inherited from GlobalFitParameterInfo) | |
Index | Gets the index of this parameter in the model. | |
Name |
Gets and sets the parameter name.
(Inherited from GlobalFitParameterInfo) | |
Sharing |
Gets and sets the parameter sharing option.
(Inherited from GlobalFitParameterInfo) | |
StandardError | Gets the standard error of this parameter. | |
Value | Gets the least squares estimate for the parameter value. |
Name | Description | |
---|---|---|
Clone | Creates a deep copy of self. | |
ConfidenceInterval | Returns the 1 - alpha confidence interval for this parameter. | |
ToString |
Formatted string for the statistics.
(Overrides ObjectToString) | |
TStatistic | Returns the t-statistic for the null hypothesis that this parameter is equal to the given test value. | |
TStatisticCriticalValue | Gets the critical value of the t-statistic for the specified alpha level. | |
TStatisticPValue | Returns the p-value for a t-test with the null hypothesis that this parameter is equal to the given test value versus the alternative hypothesis that it is not. |