WeibullAnalysisOptions Class: Difference between revisions
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'''Bayesian-Weibull Analysis Settings''' | '''Bayesian-Weibull Analysis Settings''' | ||
*Bayesian_PriorDistribution (as ''[[WeibullBayesianPriorDistribution]]'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_PriorDistribution.Cmt}}}} | *Bayesian_PriorDistribution (as ''[[WeibullBayesianPriorDistribution Enumeration|WeibullBayesianPriorDistribution]]'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_PriorDistribution.Cmt}}}} | ||
*Bayesian_Mean (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_Mean.Cmt}}}} | *Bayesian_Mean (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_Mean.Cmt}}}} | ||
*Bayesian_Std (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_Std.Cmt}}}} | *Bayesian_Std (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_Std.Cmt}}}} | ||
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*Bayesian_MinBeta (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_MinBeta.Cmt}}}} | *Bayesian_MinBeta (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_MinBeta.Cmt}}}} | ||
*Bayesian_MaxBeta (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_MaxBeta.Cmt}}}} | *Bayesian_MaxBeta (as ''double'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_MaxBeta.Cmt}}}} | ||
*Bayesian_Results (as ''[[WeibullBayesianResultsOption]]'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_ResultsAs.Cmt}}}} | *Bayesian_Results (as ''[[WeibullBayesianResultsOption Enumeration|WeibullBayesianResultsOption]]'') {{APIComment|{{Template:WeibullAnalysisOptions.Bayesian_ResultsAs.Cmt}}}} | ||
'''Application Setup Option''' | '''Application Setup Option''' |
Revision as of 17:32, 21 February 2014
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
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