Global Weibull

This page contains enumerations and classes for the Weibull class.

Classes / Enums

• WeibullSolverDistribution Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.
• WeibullSolverNumParameters Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.
• WeibullSolverMethod Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.
• WeibullSolverRankMethod Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial.
• WeibullSolverCBMethod Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.
• WeibullBayesianPriorDistribution Available Weibull-Bayesian distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.
• WeibullBayesianResultsOption Available Bayesian Weibull-Bayesian result options. This includes Median and Mean.

WeibullGeneralOptions

• WeibullGeneralOptions Weibull solver general options
• WarnNegLocation Whether to generate a warning if location parameter is negative.
• WeibullGeneralOptions.DiscardNegLocation For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.
• WeibullGeneralOptions.ResetExpLocation For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.
• WeibullGeneralOptions.Use3PTrueMLE Whether to use a full MLE solution on 3-parameter Weibull.
• WeibullGeneralOptions.UseExtendedGGamma If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.
• WeibullGeneralOptions.AllowBiasingNormal If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.
• WeibullGeneralOptions.UsePlottedYPoints If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.

WeibullAnalysisOptions

• WeibullAnalysisOptions Weibull solver analysis options
• WeibullAnalysisOptions.Distribution Called by ‘sender’ when a message should be displayed.
• WeibullAnalysisOptions.Parameters Returns an array containing model parameters and their values.
• WeibullAnalysisOptions.Analysis Sets ALTA solver model to MLE
• WeibullAnalysisOptions.RankingMethod Sets ranking method
• WeibullAnalysisOptions.UseRSRegression Whether or not to use RSRegression
• WeibullAnalysisOptions.ConfBounds Sets Confidence Bounds
• WeibullAnalysisOptions.UngroupGroupedData Whether or not data is ungrouped data
• WeibullAnalysisOptions.Subpopulations Mixed Weibull
• WeibullAnalysisOptions.Weibull_UnbiasParameters Whether or not to use Weibull Unbias Parameters -Weibull-2 MLE.
• WeibullAnalysisOptions.Bayesian_PriorDistribution Bayesian Distribution
• WeibullAnalysisOptions.Bayesian_Mean Sets Bayesian Mean Distribution
• WeibullAnalysisOptions.Bayesian_Std Sets Bayesian StdDistribution
• WeibullAnalysisOptions.Bayesian_Lambda Sets Bayesian Lambda Distribution
• WeibullAnalysisOptions.Bayesian_MinBeta Sets Bayesian Minimum Beta Distribution
• WeibullAnalysisOptions.Bayesian_MaxBeta Sets Bayesian Maximum Beta Distribution
• WeibullAnalysisOptions.Bayesian_Results Sets Bayesian Results Distribution
• WeibullAnalysisOptions.Bayesian_PriorDistribution Bayesian Distribution
• WeibullAnalysisOptions.SortBeforeCalculations Whether or not data is sorted before calculations.
• WeibullAnalysisOptions.UseSpecialSort Whether or not to sort.

WeibullBestFitOptions

• WeibullBestFitOptions Whether each Weibull distribution is the best fit
• WeibullBestFitOptions.AllowExponential1 Whether Exponential1 is the best fit option
• WeibullBestFitOptions.AllowExponential2 Whether Exponential2 is the best fit option
• WeibullBestFitOptions.AllowNormal Whether Normal is the best fit option
• WeibullBestFitOptions.AllowLognormal Whether Lognormal is the best fit option
• WeibullBestFitOptions.AllowWeibull2 Whether Weibull2 is the best fit option
• WeibullBestFitOptions.AllowWeibull3 Whether Weibull3 is the best fit option
• WeibullBestFitOptions.AllowGamma Whether Gamma is the best fit option
• WeibullBestFitOptions.AllowGenGamma Whether GenGamma is the best fit option
• WeibullBestFitOptions.AllowLogistic Whether Logistic is the best fit option
• WeibullBestFitOptions.AllowLoglogistic Whether Loglogistic is the best fit option
• WeibullBestFitOptions.AllowGumbel Whether Gumbel is the best fit option
• WeibullBestFitOptions.Analysis Sets ALTA solver model to MLE
• WeibullBestFitOptions.RankingMethod Sets ranking method
• WeibullBestFitOptions.UseRSRegression Whether or not to use RSRegression
• WeibullBestFitOptions.ConfBounds Sets Confidence Bounds
• WeibullBestFitOptions.UngroupGroupedData Whether or not data is ungrouped data
• WeibullBestFitOptions.SortBeforeCalculations Whether or not data is sorted before calculations.
• WeibullBestFitOptions.UseSpecialSort Whether or not to sort.

WeibullAnalysisResults

• WeibullAnalysisResults.CorrelationCoefficient The Correlation Coefficient value
• WeibullAnalysisResults.LikelihoodValue The LikelihoodValue
• WeibullAnalysisResults.PercentNonZero The PercentNonZero value

WeibullEvents

• WeibullEvents Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.
• WeibullEvents.Message Called by ‘sender’ when a message should be displayed.
• WeibullEvents.Question Called by ‘sender’ when an answer to the question is required.
• WeibullEvents.GetDistrParameters Called by ‘sender’ when additional input is required.
• WeibullEvents.UpdateCalculationProgress Called by ‘sender’ when calculation progress should be updated.
• WeibullEvents.ShowCalculationProgress Called by ‘sender’ when calculation progress should be shown.
• WeibullEvents.HideCalculationProgress Called by ‘sender’ when calculation progress should be hidden.