Global Weibull: Difference between revisions

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{{Template:APIClass|Global_Weibull|Global Weibull}}  
{{Template:APIClass|Global_Weibull|Global Weibull}}  


This page contains enumerations and classes for the Weibull class. To instantiate a class to be able to fit a Weibull model from your raw data see [[WeibullDataSet Class|WeibullDataSet]]
This page contains enumerations and classes for the Weibull class. To instantiate a class in order to fit a Weibull model from your raw data see [[WeibullDataSet Class|WeibullDataSet]]
== Classes / Enums ==
== Classes / Enums ==



Revision as of 21:01, 22 January 2014



This page contains enumerations and classes for the Weibull class. To instantiate a class in order to fit a Weibull model from your raw data see WeibullDataSet

Classes / Enums

  • WeibullSolverDistribution Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.
  • WeibullSolverNumParameters Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.
  • WeibullSolverMethod Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.
  • WeibullSolverRankMethod Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial.
  • WeibullSolverCBMethod Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.
  • 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.
WeibullGeneralOptions
WeibullAnalysisOptions
WeibullBestFitOptions
WeibullAnalysisResults
WeibullEvents