Global Weibull
This page contains enumerations and classes for the Weibull class. To instantiate a class to be able to fit a Weibull model from your raw data see WeibullDataSet
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 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 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 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.CorrelationCoefficient The Correlation Coefficient value
- WeibullAnalysisResults.LikelihoodValue The LikelihoodValue
- WeibullAnalysisResults.PercentNonZero The PercentNonZero value
- 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.