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 Allows the user to create and display messages, questions, calculation progress, and more.
• WeibullGeneralOptions Weibull solver general options

Enumerations

• WeibullBayesianPriorDistribution Available Bayesian-Weibull distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.
• WeibullBayesianResultsOption Available Bayesian-Weibull result options. This includes Median and Mean.
• WeibullSolverCBMethod Available Weibull++ solver confidence bounds methods. This includes Fisher Matrix, Likeihood Ratio, Beta Binomial, and KTO.
• WeibullSolverDistribution Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, Generalized Gamma (G_Gamma), Logistic, Loglogistic, Gumbel, Gamma, and Bayesian-Weibull distribution.
• WeibullSolverMethod Available Weibull++ solver analysis methods. This includes Rank Regression on X (RRX), Rank Regression on Y (RRY), and Maximum Likelihood Estimation (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 Ranks, Kaplan Meier, and Actuarial.