Global Weibull

This page lists all classes, methods and enumerations that are directly related to accessing the capabilities of a Weibull++ standard folio. The API functions related to plots that could be generated from either Weibull++ or ALTA standard folios can be found in WAPlots.

Classes and Methods

• WeibullAnalysisOptions Weibull solver analysis options
• WeibullAnalysisResults Describes various analysis results.
• WeibullBestFitOptions Whether each Weibull distribution is the best fit
• WeibullDataSet To instantiate a class in order to fit a Weibull model from your raw data.
• 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.
• WeibullGeneralOptions Weibull solver general options

Enumerations

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