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

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:• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
:• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
:• Reveal unexpected information and insight.
:• 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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Revision as of 18:29, 8 March 2012

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Non-Parametric RDA Data
Weibull++

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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