WeibullAnalysisOptions Class
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Member of: SynthesisAPI
Represents the analysis settings of the associated WeibullDataSet object.
Properties
| Name | Description |
|---|---|
| Analysis | Gets or sets a value from the WeibullSolverMethod enumeration, which specifies the method (e.g., RRX, MLE, etc.) for estimating the parameters of the distribution. Double. Default value = 0 (RRX). |
| Bayesian_Lambda | Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. Double. Default value = 2. |
| Bayesian_MaxBeta | Gets or sets the maximum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. Double. Default value = 2. |
| Bayesian_Mean | Gets or sets the value of the mean parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. Double. Default value = 2. |
| Bayesian_MinBeta | Gets or sets the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. Double. Default value = 1. |
| Bayesian_PriorDistribution | Gets or set a value from the WeibullBayesianPriorDistribution enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis. Default value = 0 (normal distribution). |
| Bayesian_ResultsAs | Gets or sets a value from the WeibullBayesianResultsOption enumeration, which specifies whether to obtain the point estimates of beta from the median value or the mean value of the posterior distribution. Default value = 0 (median). |
| Bayesian_Std | Gets or sets the value of the standard deviation parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. Double. Default value = 1. |
| ConfBounds | Gets or sets a value from the WeibullSolverCBMethod enumeration, which specifies the method for calculating the confidence bounds. Default value = 0 (Fisher Matrix method). |
| Distribution | Gets or sets a value from the WeibullSolverDistribution enumeration, which specifies the life distribution to fit to the data set. Default value = 0 (Weibull distribution). |
| Parameters | Gets or sets a value from the WeibullSolverNumParameters enumeration, which specifies the form of a distribution. Default value = 1 (2-parameter form) |
| RankingMethod | Gets or sets a value from the WeibullSolverRankMethod enumeration, which specifies the rank method for calculating the unreliability estimates of the times-to-failure data. Default value = 0 (median ranks). |
| SortBeforeCalculations | Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. Boolean. Default value = True. |
| Subpopulations | Gets or sets the number of subpopulations in the data set. Applies to mixed Weibull analysis only. Integer. Default value = 2. |
| UngroupedGroupedData | Indicates whether to ungroup a grouped data set when using rank regression. Boolean. Default value = False. |
| UseRSRegression | Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. Boolean. Default value = False, but is forced to True when analyzing interval censored data. |
| UseSpecialSort | Indicates whether failures will always be put before suspensions when two identical times are encountered. Boolean. Default value = True. |
| Weibull_UnbiasParameters | Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. Boolean. Default value = False. |
Example
The following example demonstrates how to initialize some of the analysis settings for a particular WeibullDataSet object.
VBA 'Declare a new WeibullDataSet object. Dim WDS As New WeibullDataSet 'Specify the analysis settings. WDS.AnalysisSettings.Analysis = WeibullSolverMethod_RRX WDS.AnalysisSettings.ConfBounds = WeibullSolverCBMethod_FisherMatrix WDS.AnalysisSettings.Distribution = WeibullSolverDistribution_Weibull WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters_MS_2Parameter WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod_Median WDS.AnalysisSettings.SortBeforeCalculations = True WDS.AnalysisSettings.UngroupGroupedData = False WDS.AnalysisSettings.UseRSRegression = False WDS.AnalysisSettings.UseSpecialSort = True WDS.AnalysisSettings.Weibull_UnbiasParameters = False 'Add failure times to the data set. Call WDS.AddFailure(100, 1) Call WDS.AddFailure(120, 1) Call WDS.AddFailure(130, 1) 'Analyze the data set. WDS.Calculate()
VB.NET 'Declare a new WeibullDataSet object. Dim WDS As New WeibullDataSet 'Specify the analysis settings. WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX WDS.AnalysisSettings.ConfBounds = WeibullSolverCBMethod.FisherMatrix WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod.Median WDS.AnalysisSettings.SortBeforeCalculations = True WDS.AnalysisSettings.UngroupGroupedData = False WDS.AnalysisSettings.UseRSRegression = False WDS.AnalysisSettings.UseSpecialSort = True WDS.AnalysisSettings.Weibull_UnbiasParameters = False 'Add failure times to the data set. WDS.AddFailure(100, 1) WDS.AddFailure(120, 1) WDS.AddFailure(130, 1) 'Analyze the data set. WDS.Calculate()