WeibullDataSet.CalculateBestFit: Difference between revisions
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<onlyinclude>Performs goodness of fit tests to find the distribution that best fits the data set. Returns a message box that shows the estimated parameters of the distribution that best fits the data | <onlyinclude>Performs goodness of fit tests to find the distribution that best fits the data set (similar to the Distribution Wizard feature in Weibull++). Returns a message box that shows the estimated parameters of the distribution that best fits the data and creates a retrievable [[CModel Class|cModel]] object that represents the fitted model from the life data analysis. | ||
Use the <code>BestFitSettings</code> property of the class to specify the criteria for evaluating the fit. </onlyinclude> | |||
== Syntax == | == Syntax == |
Revision as of 21:29, 7 April 2016
Member of: SynthesisAPI.WeibullDataSet
Performs goodness of fit tests to find the distribution that best fits the data set (similar to the Distribution Wizard feature in Weibull++). Returns a message box that shows the estimated parameters of the distribution that best fits the data and creates a retrievable cModel object that represents the fitted model from the life data analysis.
Use the BestFitSettings
property of the class to specify the criteria for evaluating the fit.
Syntax
.CalculateBestFit
Example
VBA 'Declare a new WeibullDataSet object. Dim WDS As New WeibullDataSet 'Add failure times to the data set. Call WDS.AddFailure(100, 1) Call WDS.AddFailure(120, 1) Call WDS.AddFailure(130, 1) 'Consider the normal, lognormal and 2-parameter Weibull distributions in the evaluation. WDS.BestFitSettings.AllowExponential1 = False WDS.BestFitSettings.AllowExponential2 = False WDS.BestFitSettings.AllowNormal = True WDS.BestFitSettings.AllowLognormal = True WDS.BestFitSettings.AllowWeibull2 = True WDS.BestFitSettings.AllowWeibull3 = False WDS.BestFitSettings.AllowGamma = False WDS.BestFitSettings.AllowGenGamma = False WDS.BestFitSettings.AllowLogistic = False WDS.BestFitSettings.AllowLoglogistic = False WDS.BestFitSettings.AllowGumbel = False 'Perform the goodness of fit tests. Call WDS.CalculateBestFit() 'Retrieve the fitted life distribution model. Dim model As cModel Set model = WDS.FittedModel 'Using the model, calculate the reliability at 100 hrs and display the result. Dim r As Double r = model.reliability(100) MsgBox("Reliability at 100 hrs: " & r)
VB.NET 'Declare a new WeibullDataSet object. Dim WDS As New WeibullDataSet 'Add failure times to the data set. WDS.AddFailure(100, 1) WDS.AddFailure(120, 1) WDS.AddFailure(130, 1) 'Consider the normal, lognormal and 2-parameter Weibull distributions in the evaluation. WDS.BestFitSettings.AllowExponential1 = False WDS.BestFitSettings.AllowExponential2 = False WDS.BestFitSettings.AllowNormal = True WDS.BestFitSettings.AllowLognormal = True WDS.BestFitSettings.AllowWeibull2 = True WDS.BestFitSettings.AllowWeibull3 = False WDS.BestFitSettings.AllowGamma = False WDS.BestFitSettings.AllowGenGamma = False WDS.BestFitSettings.AllowLogistic = False WDS.BestFitSettings.AllowLoglogistic = False WDS.BestFitSettings.AllowGumbel = False 'Perform the goodness of fit tests. WDS.CalculateBestFit() 'Retrieve the fitted life distribution model. Dim model As cModel model = WDS.FittedModel 'Using the model, calculate the reliability at 100 hrs and display the result. Dim r As Double r = model.reliability(100) MsgBox("Reliability at 100 hrs: " & r)