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

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-== Non-Parameteric Recurrent Event&nbsp;Data Analysis ==
+#REDIRECT [[Recurrent Event Data Analysis]]
-Non-parametric recurrent event&nbsp;data analysis 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}}