WeibullAnalysisOptions Class

Sets the control panel settings for use with the Calculate method.

Properties

Life Distribution

• Distribution (as WeibullSolverDistribution) Sets the life distribution to fit to the data set.
• Parameters (as WeibullSolverNumParameters) Sets the form of the selected life distribution (e.g., 2-parameter Weibull vs. mixed Weibull).
• Subpopulations (as integer) Sets the number of subpopulations in the mixed data set (mixed Weibull analysis only).

General Analysis Settings

• Analysis (as WeibullSolverMethod) Sets the method for estimating the parameters of the selected distribution (e.g., rank regression on X).
• RankingMethod (as WeibullSolverRankMethod) Sets the method for calculating the unreliability estimates of the times-to-failure data (e.g., median ranks).
• UseRSRegression (as boolean) Sets whether the ReliaSoft ranking method (RRM) will be used to calculate the unreliability estimates for times-to-failure data.
• ConfBounds (as WeibullSolverCBMethod) Sets the method for calculating the confidence bounds (e.g., Fisher Matrix).
• SortBeforeCalculations (as boolean) Sets whether times-to-failure data will be sorted in ascending order before calculation.
• UngroupGroupedData (as boolean) Sets whether grouped data will be ungrouped when using rank regression.
• Weibull_UnbiasParameters (as boolean) Sets whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution.

Bayesian-Weibull Analysis Settings

• Bayesian_PriorDistribution (as WeibullBayesianPriorDistribution) Sets the distribution to be used as the prior distribution of beta for Bayesian-Weibull analysis.
• Bayesian_Mean (as double) Sets the mean parameter to use for Bayesian-Weibull analysis when the normal distribution is assumed.
• Bayesian_Std (as double) Sets the standard deviation parameter to use for Bayesian-Weibull analysis when the normal distribution is assumed.
• Bayesian_Lambda (as double) Sets the lambda parameter to use for Bayesian-Weibull analysis when the exponential distribution is assumed.
• Bayesian_MinBeta (as double) Sets the minimum beta parameter to use for Bayesian-Weibull analysis when a uniform distribution is assumed.
• Bayesian_MaxBeta (as double) Sets the maximum beta parameter to use for Bayesian-Weibull analysis when the assumed distribution is uniform.
• Bayesian_Results (as WeibullBayesianResultsOption) Sets whether the point estimates for beta are calculated from the median or mean value of the posterior distribution.

Application Setup Option

• UseSpecialSort (as boolean) Sets whether failures will always be put before suspensions when two identical times are encountered.

Usage Example

 'Initialize a new WeibullDataSet object. 
 Dim WDS As New WeibullDataSet
 
 'Set the WeibullAnalysisOptions properties. 
 WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
 WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
 WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX
 WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod.Median
 WDS.AnalysisSettings.UseRSRegression = False
 WDS.AnalysisSettings.ConfBounds = WeibullSolverCBMethod.FisherMatrix
 WDS.AnalysisSettings.UngroupGroupedData = False
 WDS.AnalysisSettings.Subpopulations = 0
 WDS.AnalysisSettings.Weibull_UnbiasParameters = False
 WDS.AnalysisSettings.Bayesian_PriorDistribution = WeibullBayesianPriorDistribution.Normal
 WDS.AnalysisSettings.Bayesian_Mean = 2
 WDS.AnalysisSettings.Bayesian_Std = 1
 WDS.AnalysisSettings.Bayesian_Lambda = 2
 WDS.AnalysisSettings.Bayesian_MinBeta = 1
 WDS.AnalysisSettings.Bayesian_MaxBeta = 2
 WDS.AnalysisSettings.Bayesian_ResultsAs = WeibullBayesianResultsOption.Median
 WDS.AnalysisSettings.SortBeforeCalculations = True
 WDS.AnalysisSettings.UseSpecialSort = True