WeibullAnalysisOptions Class - Revision history

Kate Racaza at 20:27, 24 June 2016

2016-06-24T20:27:47Z

← Older revision		Revision as of 20:27, 24 June 2016
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	<onlyinclude>Represents the analysis settings of an associated [[WeibullDataSet Class\|WeibullDataSet]] object.</onlyinclude>		<onlyinclude>Represents the analysis settings of the associated [[WeibullDataSet Class\|WeibullDataSet]] object.</onlyinclude>

	== Properties ==		== Properties ==

Kate Racaza at 22:19, 19 May 2016

2016-05-19T22:19:06Z

← Older revision		Revision as of 22:19, 19 May 2016
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	<onlyinclude>Represents the analysis settings ~~for the~~ [[WeibullDataSet~~.Calculate~~\|~~Calculate~~]] ~~method of an associated <code>WeibullDataSet</code>~~ object.</onlyinclude>		<onlyinclude>Represents the analysis settings of an associated [[WeibullDataSet Class\|WeibullDataSet]] object.</onlyinclude>

	== Properties ==		== Properties ==

Kate Racaza at 18:35, 29 April 2016

2016-04-29T18:35:47Z

Kate Racaza at 22:56, 25 April 2016

2016-04-25T22:56:21Z

← Older revision		Revision as of 22:56, 25 April 2016
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	<onlyinclude>Represents the analysis settings ~~of an associated~~ [[WeibullDataSet ~~Class~~\|~~WeibullDataSet~~]] object.</onlyinclude>		<onlyinclude>Represents the analysis settings for the [[WeibullDataSet.Calculate\|Calculate]] method of an associated <code>WeibullDataSet</code> object.</onlyinclude>

	== Properties ==		== Properties ==

Kate Racaza at 23:11, 20 April 2016

2016-04-20T23:11:35Z

← Older revision		Revision as of 23:11, 20 April 2016
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	\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.		\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.
	\|-		\|-
	\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form of ~~the Weibull~~ distribution (e.g., 2-parameter, 3-parameter, etc.).		\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form of a distribution (e.g., 2-parameter, 3-parameter, etc.).
	\|-		\|-
	\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.		\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.

Kate Racaza at 15:59, 14 April 2016

2016-04-14T15:59:33Z

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	\|UseRSRegression\|\|Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. '''Boolean'''.		\|UseRSRegression\|\|Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. '''Boolean'''.
	\|-		\|-
	\|UseSpecialSort\|\|Indicates whether failures will always be put before suspensions when two identical times are encountered.. '''Boolean'''.		\|UseSpecialSort\|\|Indicates whether failures will always be put before suspensions when two identical times are encountered. '''Boolean'''.
	\|-		\|-
	\|Weibull_UnbiasParameters\|\|Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. '''Boolean'''.		\|Weibull_UnbiasParameters\|\|Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. '''Boolean'''.

Kate Racaza at 15:24, 14 April 2016

2016-04-14T15:24:06Z

← Older revision		Revision as of 15:24, 14 April 2016
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	\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''.		\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_MaxBeta\|\|Gets or sets ~~the value of~~ the maximum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.		\|Bayesian_MaxBeta\|\|Gets or sets the maximum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_Mean\|\|Gets or sets the value of the mean parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.		\|Bayesian_Mean\|\|Gets or sets the value of the mean parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_MinBeta\|\|Gets or sets ~~the value of~~ the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.		\|Bayesian_MinBeta\|\|Gets or sets the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_PriorDistribution\|\|Gets or set a value from the '''[[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]]''' enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.		\|Bayesian_PriorDistribution\|\|Gets or set a value from the '''[[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]]''' enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.
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	\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.		\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.
	\|-		\|-
	\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form (e.g., 2-parameter, 3-parameter, etc.) ~~of the Weibull distribution~~.		\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form of the Weibull distribution (e.g., 2-parameter, 3-parameter, etc.).
	\|-		\|-
	\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.		\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.
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	{{APIComment\|'Specify the analysis settings.}}		{{APIComment\|'Specify the analysis settings.}}
			WDS.AnalysisSettings.Analysis = WeibullSolverMethod_RRX
			WDS.AnalysisSettings.ConfBounds = WeibullSolverCBMethod_FisherMatrix
	WDS.AnalysisSettings.Distribution = WeibullSolverDistribution_Weibull		WDS.AnalysisSettings.Distribution = WeibullSolverDistribution_Weibull
	WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters_MS_2Parameter		WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters_MS_2Parameter
	~~WDS.AnalysisSettings.Analysis = WeibullSolverMethod_RRX~~
	WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod_Median		WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod_Median
			WDS.AnalysisSettings.SortBeforeCalculations = True
			WDS.AnalysisSettings.UngroupGroupedData = False
	WDS.AnalysisSettings.UseRSRegression = False		WDS.AnalysisSettings.UseRSRegression = False
	WDS.AnalysisSettings.~~ConfBounds~~ = ~~WeibullSolverCBMethod_FisherMatrix~~		WDS.AnalysisSettings.UseSpecialSort = True
	~~WDS.AnalysisSettings.UngroupGroupedData = False~~
	WDS.AnalysisSettings.Weibull_UnbiasParameters = False		WDS.AnalysisSettings.Weibull_UnbiasParameters = False
	~~WDS.AnalysisSettings.SortBeforeCalculations = True~~
	~~WDS.AnalysisSettings.UseSpecialSort = True~~

	{{APIComment\|'Add failure times to the data set.}}		{{APIComment\|'Add failure times to the data set.}}
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	{{APIComment\|'Specify the analysis settings.}}		{{APIComment\|'Specify the analysis settings.}}
			WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX
			WDS.AnalysisSettings.ConfBounds = WeibullSolverCBMethod.FisherMatrix
	WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull		WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
	WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter		WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
	~~WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX~~
	WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod.Median		WDS.AnalysisSettings.RankingMethod = WeibullSolverRankMethod.Median
			WDS.AnalysisSettings.SortBeforeCalculations = True
			WDS.AnalysisSettings.UngroupGroupedData = False
	WDS.AnalysisSettings.UseRSRegression = False		WDS.AnalysisSettings.UseRSRegression = False
	WDS.AnalysisSettings.~~ConfBounds~~ = ~~WeibullSolverCBMethod.FisherMatrix~~		WDS.AnalysisSettings.UseSpecialSort = True
	~~WDS.AnalysisSettings.UngroupGroupedData = False~~
	WDS.AnalysisSettings.Weibull_UnbiasParameters = False		WDS.AnalysisSettings.Weibull_UnbiasParameters = False
	~~WDS.AnalysisSettings.SortBeforeCalculations = True~~
	~~WDS.AnalysisSettings.UseSpecialSort = True~~

	{{APIComment\|'Add failure times to the data set.}}		{{APIComment\|'Add failure times to the data set.}}

Kate Racaza at 23:09, 13 April 2016

2016-04-13T23:09:18Z

← Older revision		Revision as of 23:09, 13 April 2016
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	\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form (e.g., 2-parameter, 3-parameter, etc.) of the Weibull distribution.		\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form (e.g., 2-parameter, 3-parameter, etc.) of the Weibull distribution.
	\|-		\|-
	\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''', which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.		\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.
	\|-		\|-
	\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''.		\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''.

Kate Racaza at 23:07, 13 April 2016

2016-04-13T23:07:21Z

Kate Racaza at 23:02, 13 April 2016

2016-04-13T23:02:06Z

← Older revision		Revision as of 23:02, 13 April 2016
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	<onlyinclude>Represents the analysis settings ~~for the life data analysis~~ of an associated [[WeibullDataSet Class\|WeibullDataSet]] object.</onlyinclude>		<onlyinclude>Represents the analysis settings of an associated [[WeibullDataSet Class\|WeibullDataSet]] object.</onlyinclude>

	== Properties ==		== Properties ==

← Older revision		Revision as of 18:35, 29 April 2016
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	{\| {{APITable}}		{\| {{APITable}}
	\|-		\|-
	\| style="width: 180px;"\|Analysis\|\|Gets or sets a value from the '''[[WeibullSolverMethod_Enumeration\|WeibullSolverMethod]]''' enumeration, which specifies the method (e.g., RRX, MLE, etc.) for estimating the parameters of the distribution. '''Double'''.		\| style="width: 180px;"\|Analysis\|\|Gets or sets a value from the '''[[WeibullSolverMethod_Enumeration\|WeibullSolverMethod]]''' enumeration, which specifies the method (e.g., RRX, MLE, etc.) for estimating the parameters of the distribution. '''Double'''. Default value = 0 (RRX).
	\|-		\|-
	\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''.		\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''. Default value = 2.
	\|-		\|-
	\|Bayesian_MaxBeta\|\|Gets or sets the maximum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.		\|Bayesian_MaxBeta\|\|Gets or sets the maximum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''. Default value = 2.
	\|-		\|-
	\|Bayesian_Mean\|\|Gets or sets the value of the mean parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.		\|Bayesian_Mean\|\|Gets or sets the value of the mean parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''. Default value = 2.
	\|-		\|-
	\|Bayesian_MinBeta\|\|Gets or sets the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.		\|Bayesian_MinBeta\|\|Gets or sets the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''. Default value = 1.
	\|-		\|-
	\|Bayesian_PriorDistribution\|\|Gets or set a value from the '''[[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]]''' enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.		\|Bayesian_PriorDistribution\|\|Gets or set a value from the '''[[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]]''' enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis. Default value = 0 (normal distribution).
	\|-		\|-
	\|Bayesian_ResultsAs\|\|Gets or sets a value from the '''[[WeibullBayesianResultsOption_Enumeration\|WeibullBayesianResultsOption]]''' enumeration, which specifies whether to obtain the point estimates of beta from the median value or the mean value of the posterior distribution.		\|Bayesian_ResultsAs\|\|Gets or sets a value from the '''[[WeibullBayesianResultsOption_Enumeration\|WeibullBayesianResultsOption]]''' enumeration, which specifies whether to obtain the point estimates of beta from the median value or the mean value of the posterior distribution. Default value = 0 (median).
	\|-		\|-
	\|Bayesian_Std\|\|Gets or sets the value of the standard deviation parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.		\|Bayesian_Std\|\|Gets or sets the value of the standard deviation parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''. Default value = 1.
	\|-		\|-
	\|ConfBounds\|\|Gets or sets a value from the '''[[WeibullSolverCBMethod_Enumeration\|WeibullSolverCBMethod]]''' enumeration, which specifies the method for calculating the confidence bounds (~~e.g.,~~ Fisher Matrix).		\|ConfBounds\|\|Gets or sets a value from the '''[[WeibullSolverCBMethod_Enumeration\|WeibullSolverCBMethod]]''' enumeration, which specifies the method for calculating the confidence bounds. Default value = 0 (Fisher Matrix method).
	\|-		\|-
	\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.		\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set. Default value = 0 (Weibull distribution).
	\|-		\|-
	\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form of a distribution (~~e.g.,~~ 2-parameter~~, 3-parameter, etc.~~).		\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form of a distribution. Default value = 1 (2-parameter form)
	\|-		\|-
	\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method ~~(e.g., median ranks or Kaplan-Meier)~~ for calculating the unreliability estimates of the times-to-failure data.		\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''' enumeration, which specifies the rank method for calculating the unreliability estimates of the times-to-failure data. Default value = 0 (median ranks).
	\|-		\|-
	\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''.		\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''. Default value = True.
	\|-		\|-
	\|Subpopulations\|\|Gets or sets the number of subpopulations in the data set. Applies to mixed Weibull analysis only. '''Integer'''.		\|Subpopulations\|\|Gets or sets the number of subpopulations in the data set. Applies to mixed Weibull analysis only. '''Integer'''. Default value = 2.
	\|-		\|-
	\|UngroupedGroupedData\|\|Indicates whether to ungroup a grouped data set when using rank regression. '''Boolean'''.		\|UngroupedGroupedData\|\|Indicates whether to ungroup a grouped data set when using rank regression. '''Boolean'''. Default value = False.
	\|-		\|-
	\|UseRSRegression\|\|Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. '''Boolean'''.		\|UseRSRegression\|\|Indicates whether to use ReliaSoft's ranking method (RRM) to calculate the unreliability estimates for times-to-failure data. '''Boolean'''. Default value = False, but is forced to True when analyzing interval censored data.
	\|-		\|-
	\|UseSpecialSort\|\|Indicates whether failures will always be put before suspensions when two identical times are encountered. '''Boolean'''.		\|UseSpecialSort\|\|Indicates whether failures will always be put before suspensions when two identical times are encountered. '''Boolean'''. Default value = True.
	\|-		\|-
	\|Weibull_UnbiasParameters\|\|Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. '''Boolean'''.		\|Weibull_UnbiasParameters\|\|Indicates whether the biased beta estimate (due to MLE sampling error) will be corrected for the 2-parameter Weibull distribution. '''Boolean'''. Default value = False.
	\|}		\|}

← Older revision		Revision as of 23:07, 13 April 2016
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	{\| {{APITable}}		{\| {{APITable}}
	\|-		\|-
	\| style="width: 180px;"\|Analysis\|\|Gets or sets a value from the [[WeibullSolverMethod_Enumeration\|WeibullSolverMethod]] enumeration, which specifies the method (e.g., RRX, MLE, etc.) for estimating the parameters of the distribution. '''Double'''.		\| style="width: 180px;"\|Analysis\|\|Gets or sets a value from the '''[[WeibullSolverMethod_Enumeration\|WeibullSolverMethod]]''' enumeration, which specifies the method (e.g., RRX, MLE, etc.) for estimating the parameters of the distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''.		\|Bayesian_Lambda\|\|Gets or sets the value of the lambda parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow an exponential distribution. '''Double'''.
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	\|Bayesian_MinBeta\|\|Gets or sets the value of the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.		\|Bayesian_MinBeta\|\|Gets or sets the value of the minimum value of the beta parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a uniform distribution. '''Double'''.
	\|-		\|-
	\|Bayesian_PriorDistribution\|\|Gets or set a value from the [[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]] enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.		\|Bayesian_PriorDistribution\|\|Gets or set a value from the '''[[WeibullBayesianPriorDistribution_Enumeration\|WeibullBayesianPriorDistribution]]''' enumeration, which specifies the prior distribution for the Bayesian-Weibull analysis.
	\|-		\|-
	\|Bayesian_ResultsAs\|\|Gets or sets a value from the [[WeibullBayesianResultsOption_Enumeration\|WeibullBayesianResultsOption]] enumeration, which specifies whether to obtain the point estimates of beta from the median value or the mean value of the posterior distribution.		\|Bayesian_ResultsAs\|\|Gets or sets a value from the '''[[WeibullBayesianResultsOption_Enumeration\|WeibullBayesianResultsOption]]''' enumeration, which specifies whether to obtain the point estimates of beta from the median value or the mean value of the posterior distribution.
	\|-		\|-
	\|Bayesian_Std\|\|Gets or sets the value of the standard deviation parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.		\|Bayesian_Std\|\|Gets or sets the value of the standard deviation parameter of the prior distribution. Applies to Bayesian-Weibull analyses where the prior distribution of beta is assumed to follow a normal distribution. '''Double'''.
	\|-		\|-
	\|ConfBounds\|\|Gets or sets a value from the [[WeibullSolverCBMethod_Enumeration\|WeibullSolverCBMethod]] enumeration, which specifies the method for calculating the confidence bounds (e.g., Fisher Matrix).		\|ConfBounds\|\|Gets or sets a value from the '''[[WeibullSolverCBMethod_Enumeration\|WeibullSolverCBMethod]]''' enumeration, which specifies the method for calculating the confidence bounds (e.g., Fisher Matrix).
	\|-		\|-
	\|Distribution\|\|Gets or sets a value from the [[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]] enumeration, which specifies the life distribution to fit to the data set.		\|Distribution\|\|Gets or sets a value from the '''[[WeibullSolverDistribution_Enumeration\|WeibullSolverDistribution]]''' enumeration, which specifies the life distribution to fit to the data set.
	\|-		\|-
	\|Parameters\|\|Gets or sets a value from the [[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]] enumeration, which specifies the form (e.g., 2-parameter, 3-parameter, etc.) of the Weibull distribution.		\|Parameters\|\|Gets or sets a value from the '''[[WeibullSolverNumParameters_Enumeration\|WeibullSolverNumParameters]]''' enumeration, which specifies the form (e.g., 2-parameter, 3-parameter, etc.) of the Weibull distribution.
	\|-		\|-
	\|RankingMethod\|\|Gets or sets a value from the [[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]], which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.		\|RankingMethod\|\|Gets or sets a value from the '''[[WeibullSolverRankMethod_Enumeration\|WeibullSolverRankMethod]]''', which specifies the rank method (e.g., median ranks or Kaplan-Meier) for calculating the unreliability estimates of the times-to-failure data.
	\|-		\|-
	\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''.		\|SortBeforeCalculations\|\|Indicates whether the failures/suspension times in the data set are sorted in ascending order before calculation. '''Boolean'''.