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.

Declare a WeibullDataSet object.

       Dim WDS as New WeibullDataSet

Set Weibull as the distribution for analysis.

       WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull

Specify that the 2-parameter version of the distribution will be used.

       WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter

Set MLE as the method that will be used to estimate the parameters.

       WDS.AnalysisSettings.Analysis = WeibullSolverMethod.MLE