Global Weibull: Difference between revisions
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''Classes and Methods'' | ''Classes and Methods'' | ||
*'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | *'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | ||
*'''[[WeibullAnalysisResults | *'''[[WeibullAnalysisResults Class|WeibullAnalysisResults ]]''' {{Template:APIComment|The Correlation Coefficient value}} | ||
*'''[[WeibullBestFitOptions Class|WeibullBestFitOptions]]''' {{Template:APIComment|Whether each Weibull distribution is the best fit}} | *'''[[WeibullBestFitOptions Class|WeibullBestFitOptions]]''' {{Template:APIComment|Whether each Weibull distribution is the best fit}} | ||
*'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|To instantiate a class in order to fit a Weibull model from your raw data.}} | *'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|To instantiate a class in order to fit a Weibull model from your raw data.}} |
Revision as of 17:34, 28 January 2014
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 The Correlation Coefficient value
- 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.