WeibullAnalysisOptions Class

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()