WeibullAnalysisOptions Class

Member of: SynthesisAPI

Represents the analysis settings for the Calculate method of an 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.
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.
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.
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.
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.
Bayesian_PriorDistribution	Gets or set a value from the WeibullBayesianPriorDistribution enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.
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.
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.
ConfBounds	Gets or sets a value from the WeibullSolverCBMethod enumeration, which specifies the method for calculating the confidence bounds (e.g., Fisher Matrix).
Distribution	Gets or sets a value from the WeibullSolverDistribution enumeration, which specifies the life distribution to fit to the data set.
Parameters	Gets or sets a value from the WeibullSolverNumParameters enumeration, which specifies the form of a distribution (e.g., 2-parameter, 3-parameter, etc.).
RankingMethod	Gets or sets a value from the WeibullSolverRankMethod enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.
SortBeforeCalculations	Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. Boolean.
Subpopulations	Gets or sets the number of subpopulations in the data set. Applies to mixed Weibull analysis only. Integer.
UngroupedGroupedData	Indicates whether to ungroup a grouped data set when using rank regression. Boolean.
UseRSRegression	Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. Boolean.
UseSpecialSort	Indicates whether failures will always be put before suspensions when two identical times are encountered. Boolean.
Weibull_UnbiasParameters	Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. Boolean.

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()