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 | This page contains all classes, methods, and enumerations directly related to Weibull. | ||
''Below is the list of classes and their methods contained in the library.'' | |||
*'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | *'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | ||
*'''[[ | *'''[[WeibullAnalysisResults.CorrelationCoefficient]]''' {{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.}} | ||
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|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 Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}} | |||
*'''[[ | |||
*'''[[ | |||
''Below is a list of enumerations.'' | |||
*'''[[ | *'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|Available Weibull-Bayesian distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.}} | ||
*'''[[ | *'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|Available Bayesian Weibull-Bayesian result options. This includes Median and Mean.}} | ||
*'''[[ | *'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.}} | ||
*'''[[ | *'''[[WeibullSolverDistribution]]''' {{Template:APIComment|Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.}} | ||
*'''[[ | *'''[[WeibullSolverMethod]]''' {{Template:APIComment|Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.}} | ||
*'''[[ | *'''[[WeibullSolverNumParameters]]''' {{Template:APIComment|Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.}} | ||
*'''[[ | *'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial. }} |
Revision as of 19:46, 27 January 2014
This page contains all classes, methods, and enumerations directly related to Weibull.
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.