Global Weibull: Difference between revisions

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*'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|{{Template:WeibullDataSet Class.Cmt}}}}
*'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|{{Template:WeibullDataSet Class.Cmt}}}}
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|{{Template:WeibullEvents Class.Cmt}}}}
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|{{Template:WeibullEvents Class.Cmt}}}}
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}}
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Template:WeibullGeneralOptions Class.Cmt}}




''Enumerations''
''Enumerations''
*'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|Available Bayesian-Weibull distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.}}
*'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|{{Template:WeibullBayesianPriorDistribution.Cmt}}}}
*'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|Available Bayesian-Weibull result options. This includes Median and Mean.}}
*'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|{{Template:WeibullBayesianResultsOption.Cmt}}}}
*'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull++ solver confidence bounds methods. This includes Fisher Matrix, Likeihood Ratio, Beta Binomial, and KTO.}}
*'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|{{Template:WeibullSolverCBMethod.Cmt}}}}
*'''[[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.}}
*'''[[WeibullSolverDistribution]]''' {{Template:APIComment|{{Template:WeibullSolverDistribution.Cmt}}}}
*'''[[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).}}
*'''[[WeibullSolverMethod]]''' {{Template:APIComment|{{Template:WeibullSolverMethod.Cmt}}}}
*'''[[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.}}
*'''[[WeibullSolverNumParameters]]''' {{Template:APIComment|{{Template:WeibullSolverNumParameters.Cmt}}}}
*'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|Available Weibull++ solver ranking methods. This includes Median Ranks, Kaplan Meier, and Actuarial. }}
*'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|{{Template:WeibullSolverRankMethod.Cmt}}}}

Revision as of 16:23, 30 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

Use the WeibullDataSet.AnalysisResults method to access these results.

  • WeibullBestFitOptions This page contains the WeibullBestFitOptions Class properties that allow distributions and rankings within the Distribution Wizard in a Weibull++ folio. See BestFitSettings for settings.
  • WeibullDataSet Provides the functionality of a Weibull++ standard folio, including entering data in a data set, specifying analysis settings and fitting a distribution to the data set.
  • WeibullEvents all the event handlers that can be called by WeibullDataSet. To use events, you must inherit the class, override its methods and assign its instance to the Events property of a WeibullDataSet. WeibullEvents inheritance is not available in VB6/VBA.
  • WeibullGeneralOptions Template:WeibullGeneralOptions Class.Cmt


Enumerations

To set the specific version of the selected distribution (e.g., 2-parameter Weibull vs. mixed Weibull) for use with the WeibullDataSet.Calculate method, use the Parameters property of the WeibullAnalysisOptions class.

  • WeibullSolverMethod Contains different methods for estimating the parameters of the selected distribution (e.g., rank regression X).
  • WeibullSolverNumParameters Contains different forms of a life distribution (e.g., 2-parameter vs. 3-parameter).

The life distribution (e.g., Weibull vs. normal) is specified in the Distribution property of the WeibullAnalysisOptions class.

  • WeibullSolverRankMethod Contains the available methods for calculating the unreliability estimates of the times-to-failure data.