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 in order to fit a Weibull model from your raw data see [[WeibullDataSet Class|WeibullDataSet]].
This page contains all classes, methods, and enumerations directly related to Weibull.
== Classes / Enums ==


*'''[[WeibullSolverDistribution]]''' {{Template:APIComment|Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.}}
*'''[[WeibullSolverNumParameters]]''' {{Template:APIComment|Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.}}
*'''[[WeibullSolverMethod]]''' {{Template:APIComment|Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.}}
*'''[[WeibullSolverRankMethod]]''' {{Template:APIComment|Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial. }}
*'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.}}
*'''[[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.}}


===== [[WeibullGeneralOptions Class|WeibullGeneralOptions]] =====
''Below is the list of classes and their methods contained in the library.''
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}}
*'''[[WeibullGeneralOptions.WarnNegLocation|WarnNegLocation]]''' {{Template:APIComment|Whether to generate a warning if location parameter is negative.}}
*'''[[WeibullGeneralOptions.DiscardNegLocation]]''' {{APIComment|For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.}}
*'''[[WeibullGeneralOptions.ResetExpLocation]]''' {{Template:APIComment|For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.}}
*'''[[WeibullGeneralOptions.Use3PTrueMLE]]''' {{APIComment|Whether to use a full MLE solution on 3-parameter Weibull.}}
*'''[[WeibullGeneralOptions.UseExtendedGGamma]]''' {{APIComment|If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.}}
*'''[[WeibullGeneralOptions.AllowBiasingNormal]]''' {{Template:APIComment|If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.}}
*'''[[WeibullGeneralOptions.UsePlottedYPoints]]''' {{Template:APIComment|If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.}}
 
===== [[WeibullAnalysisOptions Class|WeibullAnalysisOptions]] =====
*'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}}
*'''[[WeibullAnalysisOptions Class|WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}}
*'''[[WeibullAnalysisOptions.Distribution]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}}
*'''[[WeibullAnalysisResults.CorrelationCoefficient]]''' {{Template:APIComment|The Correlation Coefficient value}}
*'''[[WeibullAnalysisOptions.Parameters]]''' {{Template:APIComment|Returns an array containing model parameters and their values.}}
*'''[[WeibullAnalysisOptions.Analysis]]''' {{Template:APIComment|Sets ALTA solver model to MLE}}
*'''[[WeibullAnalysisOptions.RankingMethod]]''' {{Template:APIComment|Sets ranking method}}
*'''[[WeibullAnalysisOptions.UseRSRegression]]''' {{Template:APIComment|Whether or not to use RSRegression}}
*'''[[WeibullAnalysisOptions.ConfBounds]]''' {{Template:APIComment|Sets Confidence Bounds}}
*'''[[WeibullAnalysisOptions.UngroupGroupedData]]''' {{Template:APIComment|Whether or not data is ungrouped data}}
*'''[[WeibullAnalysisOptions.Subpopulations]]''' {{Template:APIComment|Mixed Weibull}}
*'''[[WeibullAnalysisOptions.Weibull_UnbiasParameters]]''' {{Template:APIComment|Whether or not to use Weibull Unbias Parameters -Weibull-2 MLE.}}
*'''[[WeibullAnalysisOptions.Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_Mean]]''' {{Template:APIComment|Sets Bayesian Mean Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_Std]]''' {{Template:APIComment|Sets Bayesian StdDistribution}}
*'''[[WeibullAnalysisOptions.Bayesian_Lambda]]''' {{Template:APIComment|Sets Bayesian Lambda Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_MinBeta]]''' {{Template:APIComment|Sets Bayesian Minimum Beta Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_MaxBeta]]''' {{Template:APIComment|Sets Bayesian Maximum Beta Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_Results]]''' {{Template:APIComment|Sets Bayesian Results Distribution}}
*'''[[WeibullAnalysisOptions.Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}}
*'''[[WeibullAnalysisOptions.SortBeforeCalculations]]''' {{Template:APIComment|Whether or not data is sorted before calculations.}}
*'''[[WeibullAnalysisOptions.UseSpecialSort]]''' {{Template:APIComment|Whether or not to sort.}}
 
===== [[WeibullBestFitOptions Class|WeibullBestFitOptions]] =====
*'''[[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}}
*'''[[WeibullBestFitOptions.AllowExponential1 ]]''' {{Template:APIComment|Whether Exponential1 is the best fit option}}
*'''[[WeibullDataSet Class|WeibullDataSet]]''' {{Template:APIComment|To instantiate a class in order to fit a Weibull model from your raw data.}}
*'''[[WeibullBestFitOptions.AllowExponential2 ]]''' {{Template:APIComment|Whether Exponential2 is the best fit option}}
*'''[[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.}}
*'''[[WeibullBestFitOptions.AllowNormal ]]''' {{Template:APIComment|Whether Normal is the best fit option}}
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}}
*'''[[WeibullBestFitOptions.AllowLognormal ]]''' {{Template:APIComment|Whether Lognormal is the best fit option}}
*'''[[WeibullBestFitOptions.AllowWeibull2 ]]''' {{Template:APIComment|Whether Weibull2 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowWeibull3 ]]''' {{Template:APIComment|Whether Weibull3 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGamma ]]''' {{Template:APIComment|Whether Gamma is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGenGamma ]]''' {{Template:APIComment|Whether GenGamma is the best fit option}}
*'''[[WeibullBestFitOptions.AllowLogistic ]]''' {{Template:APIComment|Whether Logistic is the best fit option}}
*'''[[WeibullBestFitOptions.AllowLoglogistic ]]''' {{Template:APIComment|Whether Loglogistic is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGumbel ]]''' {{Template:APIComment|Whether Gumbel is the best fit option}}
*'''[[WeibullBestFitOptions.Analysis ]]''' {{Template:APIComment|Sets ALTA solver model to MLE}}
*'''[[WeibullBestFitOptions.RankingMethod ]]''' {{Template:APIComment|Sets ranking method}}
*'''[[WeibullBestFitOptions.UseRSRegression ]]''' {{Template:APIComment|Whether or not to use RSRegression}}
*'''[[WeibullBestFitOptions.ConfBounds ]]''' {{Template:APIComment|Sets Confidence Bounds}}
*'''[[WeibullBestFitOptions.UngroupGroupedData ]]''' {{APIComment|Whether or not data is ungrouped data}}
*'''[[WeibullBestFitOptions.SortBeforeCalculations ]]''' {{Template:APIComment|Whether or not data is sorted before calculations.}}
*'''[[WeibullBestFitOptions.UseSpecialSort ]]''' {{Template:APIComment|Whether or not to sort.}}


===== [[WeibullAnalysisResults Class|WeibullAnalysisResults]] =====
*'''[[WeibullAnalysisResults.CorrelationCoefficient]]''' {{Template:APIComment|The Correlation Coefficient value}}
*'''[[WeibullAnalysisResults.LikelihoodValue]]''' {{Template:APIComment|The LikelihoodValue}}
*'''[[WeibullAnalysisResults.PercentNonZero]]''' {{Template:APIComment|The PercentNonZero value}}


===== [[WeibullEvents Class|WeibullEvents]] =====
''Below is a list of enumerations.''
*'''[[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.}}
*'''[[WeibullBayesianPriorDistribution]]''' {{Template:APIComment|Available Weibull-Bayesian distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.}}
*'''[[WeibullEvents.Message]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}}
*'''[[WeibullBayesianResultsOption]]''' {{Template:APIComment|Available Bayesian Weibull-Bayesian result options. This includes Median and Mean.}}
*'''[[WeibullEvents.Question]]''' {{Template:APIComment|Called by ‘sender’ when an answer to the question is required.}}
*'''[[WeibullSolverCBMethod]]''' {{Template:APIComment|Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.}}
*'''[[WeibullEvents.GetDistrParameters]]''' {{Template:APIComment|Called by ‘sender’ when additional input is required.}}
*'''[[WeibullSolverDistribution]]''' {{Template:APIComment|Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.}}
*'''[[WeibullEvents.UpdateCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be updated.}}
*'''[[WeibullSolverMethod]]''' {{Template:APIComment|Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.}}
*'''[[WeibullEvents.ShowCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be shown.}}
*'''[[WeibullSolverNumParameters]]''' {{Template:APIComment|Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.}}
*'''[[WeibullEvents.HideCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be hidden.}}
*'''[[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.


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.