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

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==Non-Parameteric Recurrence Data Analysis==
#REDIRECT [[Recurrent Event Data Analysis]]
===Introduction===
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.
 
{{mean cumulative function for recurrence data}}
 
{{confidence limits for the MCF}}

Latest revision as of 07:48, 29 June 2012

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