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| | #REDIRECT [[Template:WebNotes/Weibull%2B%2BNon-Parametric_RDA_Data]] |
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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]
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| :• Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
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| :• Estimate the average number or cost of repairs per unit during warranty or some time period.
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| :• Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
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| :• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
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| :• Reveal unexpected information and insight.
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| | valign="middle" | [http://reliawiki.com/index.php/Template:Recurrent_events_data_analysis#Non-Parameteric_Recurrence_Data_Analysis Get More Details...]
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| | valign="middle" | [http://reliawiki.com/index.php/Template:Non-parametric_LDA_Examples See Examples...]
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