Global Weibull
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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 Sets the WeibullDataSet.AnalysisSettings property.
- WeibullAnalysisResults the correlation coefficient, likelihood value and percent non-zero values that were estimated from the analysis, if applicable. These are equivalent to the "Rho," "LK Value" and "Pnz" results that can be shown in the Analysis Summary of the standard folio control panel.
Use the WeibullDataSet.AnalysisResults method to access these results.
- WeibullBestFitOptions Contains the WeibullBestFitOptions Class properties that allow distributions and rankings within the Distribution Wizard in a Weibull++ folio
- 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. For example, these parameters could serve as beta, eta, gamma, or any other reliability parameter.
- WeibullSolverRankMethod Available Weibull++ solver ranking methods. This includes Median Ranks, Kaplan Meier, and Actuarial.