Template:Weibull Non-Parametric Recurrent Events Data Analysis: Difference between revisions

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== Non-Parameteric Recurrent Event Data Analysis ==
#REDIRECT [[Recurrent Event Data Analysis]]
 
Non-parametric RDA provides a non-parametric 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: [[Appendix: Weibull References|[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 expected number of failures next month, quarter, or year.
:*Reveal unexpected information and insight.
 
{{mean cumulative function for recurrence data}}
 
{{confidence limits for the MCF}}

Latest revision as of 07:48, 29 June 2012