Global Weibull: Difference between revisions
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This page contains all classes, methods, and enumerations directly related to Weibull. Information on plots can be found in [[WAPlots Class|WAPlots]]. | This page contains all classes, methods, and enumerations directly related to Weibull. Information on plots can be found in [[WAPlots Class|WAPlots]]. |
Revision as of 23:33, 27 January 2014
This page contains all classes, methods, and enumerations directly related to Weibull. Information on plots can be found in WAPlots.
Below is the list of classes and their methods contained in the library.
- WeibullAnalysisOptions Weibull solver analysis options
- WeibullAnalysisResults.CorrelationCoefficient 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
Below is a list of 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.