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

Revision as of 21:02, 17 January 2012

Reliability Web Notes
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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See Examples...

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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]
+:•	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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+| align="center" valign="middle" | [http://reliawiki.com/index.php/Template:Recurrent_events_data_analysis#Non-Parameteric_Recurrence_Data_Analysis Get More Details...]
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-| align="center" valign="middle" | [Link1 Get More Details...]
+| align="center" valign="middle" | [http://reliawiki.com/index.php/Template:Non-parametric_LDA_Examples See Examples...]
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-| align="center" valign="middle" | [Link2 See Examples...]
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