WeibullDataSet Class: Difference between revisions

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*'''[[WeibullEvents]]''' {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}}
*'''[[WeibullEvents]]''' {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}}
*'''[[New WeibullEvents]]''' {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}}
*'''[[New WeibullEvents]]''' {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}}
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== Methods  ==
== Methods  ==
*'''[[ClearDataSet]]''' {{APIComment|Clears all data and fitted model. All analysis settings stay unchanged.}}
*'''[[ClearDataSet]]''' {{APIComment|Clears all data and fitted model. All analysis settings stay unchanged.}}

Revision as of 01:41, 10 September 2013



Instantiate this class to be able to fit a model from your raw data.

Constructors

  • New WeibullDataSet Creates a new class that can be used to fit a model from Weibull raw data.



Properties



Events

  • WeibullEvents Reference to a class that contains overridable methods for handling Weibull solver events.
  • New WeibullEvents Reference to a class that contains overridable methods for handling Weibull solver events.


Methods

  • ClearDataSet Clears all data and fitted model. All analysis settings stay unchanged.
  • AddFailure Adds a failure data point to the collection of data points in the data set.
  • AddSuspension Adds a suspension data point to the collection of data points in the data set.
  • AddFailureInterval Adds a failure interval data point to the collection of data points in the data set.
  • AddSuspensionInterval Adds a suspension interval data point to the collection of data points in the data set.
  • AddFreeForm Adds a free-form data point to the collection of data points in the data set.
  • Calculate Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
  • CalculateBestFit Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.