Weibull++ Non-Parametric RDA Data: Difference between revisions

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Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]
 
:• Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
:• Estimate the average number or cost of repairs per unit during warranty or some time period.
:• Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
:• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
:• Reveal unexpected information and insight.
 
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| [http://help.synthesis8.com/weibull_alta8/non_parametric_recurrent_event_data_analysis_(rda)_folio.htm the help files...]
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| [http://reliawiki.com/index.php/Template:Recurrent_events_data_analysis#Non-Parameteric_Recurrence_Data_Analysis the theory textbook...] 
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| [http://www.weibull.com/hotwire/issue57/hottopics57.htm related article(s)...]
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| [http://reliawiki.com/index.php/Template:Non-parametric_LDA_Examples use example(s)...]
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Latest revision as of 16:20, 10 July 2015

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