Global Weibull

Constructors

• 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.

Properties

• WeibullGeneralOptions Weibull solver general options
• WarnNegLocation Whether to generate a warning if location parameter is negative.
• DiscardNegLocation For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.
• ResetExpLocation For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.
• Use3PTrueMLE Whether to use a full MLE solution on 3-parameter Weibull.
• UseExtendedGGamma If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.
• AllowBiasingNormal If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.
• UsePlottedYPoints If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.
• WeibullAnalysisOptions Weibull solver analysis options

• Distribution Called by ‘sender’ when a message should be displayed.
• Parameters Returns an array containing model parameters and their values.
• Analysis Sets ALTA solver model to MLE
• RankingMethod Sets ranking method
• UseRSRegression Whether or not to use RSRegression
• ConfBounds Sets Confidence Bounds
• UngroupGroupedData Whether or not data is ungrouped data
• Subpopulations Mixed Weibull
• Weibull_UnbiasParameters Whether or not to use Weibull Unbias Parameters -Weibull-2 MLE.
• Bayesian_PriorDistribution Bayesian Distribution
• Bayesian_Mean Sets Bayesian Mean Distribution
• Bayesian_Std Sets Bayesian StdDistribution
• Bayesian_Lambda Sets Bayesian Lambda Distribution
• Bayesian_MinBeta Sets Bayesian Minimum Beta Distribution
• Bayesian_MaxBeta Sets Bayesian Maximum Beta Distribution
• Bayesian_Results Sets Bayesian Results Distribution
• SortBeforeCalculations Whether or not data is sorted before calculations.
• UseSpecialSort Whether or not to sort.
• Bayesian_PriorDistribution Bayesian Distribution
• WeibullBestFitOptions Whether each weibull distribution is the best fit

• 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.
• Message Called by ‘sender’ when a message should be displayed.
• Question Called by ‘sender’ when an answer to the question is required.
• GetDistrParameters Called by ‘sender’ when additional input is required.
• UpdateCalculationProgress Called by ‘sender’ when calculation progress should be updated.
• ShowCalculationProgress Called by ‘sender’ when calculation progress should be shown.
• HideCalculationProgress Called by ‘sender’ when calculation progress should be hidden.