Global Weibull: Difference between revisions

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{{Template:APIClass|Global Weibull| }}
#REDIRECT [[WeibullDataSet_Class]]
 
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]].
 
 
''Classes and Methods''
*'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|{{Template:WeibullAnalysisOptions Class.Cmt}}}}
*'''[[WeibullAnalysisResults Class|WeibullAnalysisResults ]]''' {{Template:APIComment|{{Template:WeibullAnalysisResults Class.Cmt}}}}
*'''[[WeibullBestFitOptions Class|WeibullBestFitOptions]]''' {{Template:APIComment|{{Template:WeibullBestFitOptions Class.Cmt}}}}
*'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|{{Template:WeibullDataSet Class.Cmt}}}}
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|{{Template:WeibullEvents Class.Cmt}}}}
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}}
 
 
''Enumerations''
*'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|Available Bayesian-Weibull distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.}}
*'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|Available Bayesian-Weibull result options. This includes Median and Mean.}}
*'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull++ solver confidence bounds methods. This includes Fisher Matrix, Likeihood Ratio, Beta Binomial, and KTO.}}
*'''[[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.}}
*'''[[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).}}
*'''[[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, gamma, or any other reliability parameter.}}
*'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|Available Weibull++ solver ranking methods. This includes Median Ranks, Kaplan Meier, and Actuarial. }}

Latest revision as of 20:30, 4 May 2016

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