WeibullSolverMethod Enumeration: Difference between revisions

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{{Template:APIClass|WeibullDataSet_Class|WeibullDataSet}}
{{Template:API}}{{Template:APIBreadcrumb}}
Specifies the method for estimating the parameters of the selected distribution (e.g., rank regression on X).
 
 
Specifies the method for estimating the parameters of a distribution.


== Members ==
== Members ==
{| {{APITableEnum}}
|-
| style="width: 150px;"|RRX||style="width: 80px;"|0||Rank regression on X.
|-
|RRY||1||Rank regression on Y.
|-
|MLE||2||Maximum likelihood estimation.
|}


*RRX        {{APIComment|Rank regression on X (RRX)}}
*RRY        {{APIComment|Rank regression on Y (RRY)}}
*MLE        {{APIComment|Maximum likelihood estimation (MLE)}}


== Usage Example ==


{{APIComment|Declare a WeibullDataSet object.}}
        Dim WDS as New [[WeibullDataSet Class|WeibullDataSet]]


{{APIComment|Set Weibull as the distribution for analysis.}}
        WDS.[[WeibullDataSet.AnalysisSettings|AnalysisSettings]].[[WeibullAnalysisOptions.Distribution|Distribution]] = [[WeibullSolverDistribution]].Weibull


{{APIComment|Specify that the 2-parameter Weibull distribution will be used.}}
        WDS.[[WeibullDataSet.AnalysisSettings|AnalysisSettings]].[[WeibullAnalysisOptions.Parameters|Parameters]] = [[WeibullSolverNumParameters]].MS_2Parameter


{{APIComment|Set MLE as the method that will be used to estimate the parameters.}}
==See Also==
        WDS.[[WeibullDataSet.AnalysisSettings|AnalysisSettings]].[[WeibullAnalysisOptions.Analysis|Analysis]] = [[WeibullSolverMethod]].MLE
*[[WeibullBestFitOptions Class]]
*[[WeibullAnalysisOptions Class]]

Latest revision as of 15:02, 21 April 2016

APIWiki.png


Member of: SynthesisAPI


Specifies the method for estimating the parameters of a distribution.

Members

Name Value Description
RRX 0 Rank regression on X.
RRY 1 Rank regression on Y.
MLE 2 Maximum likelihood estimation.




See Also

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