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| {{Template:APIClass|Global Weibull| }}
| | #REDIRECT [[WeibullDataSet_Class]] |
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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 Class|WAPlots]].
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| ''Classes and Methods''
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| *'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}}
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| *'''[[WeibullAnalysisResults Class|WeibullAnalysisResults ]]''' {{Template:APIComment|Describes various analysis results.}}
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| *'''[[WeibullBestFitOptions Class|WeibullBestFitOptions]]''' {{Template:APIComment|Contains the WeibullBestFitOptions Class properties that allow distributions and rankings within the Distribution Wizard in a Weibull++ folio}}
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| *'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|To instantiate a class in order to fit a Weibull model from your raw data.}}
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| *'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|Allows the user to create and display messages, questions, calculation progress, and more.}}
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| *'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}}
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| ''Enumerations''
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| *'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|Available Bayesian-Weibull distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.}}
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| *'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|Available Bayesian-Weibull result options. This includes Median and Mean.}}
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| *'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull++ solver confidence bounds methods. This includes Fisher Matrix, Likeihood Ratio, Beta Binomial, and KTO.}}
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| *'''[[WeibullSolverDistribution]]''' {{Template:APIComment|Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, Generalized Gamma (G_Gamma), Logistic, Loglogistic, Gumbel, Gamma, and Bayesian-Weibull distribution.}}
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| *'''[[WeibullSolverMethod]]''' {{Template:APIComment|Available Weibull++ solver analysis methods. This includes Rank Regression on X (RRX), Rank Regression on Y (RRY), and Maximum Likelihood Estimation (MLE).}}
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| *'''[[WeibullSolverNumParameters]]''' {{Template:APIComment|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, and gamma.}}
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| *'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|Available Weibull++ solver ranking methods. This includes Median Ranks, Kaplan Meier, and Actuarial. }}
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