Template:WebNotes/RGASimuMatic: Difference between revisions
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RGA's SimuMatic | RGA's SimuMatic performs a number of Monte Carlo simulations based on user-defined required test time or failure termination settings, and then recalculates the beta and lambda parameters for each of the generated data sets. The number of times that the Monte Carlo data sets are generated and the parameters recalculated is also user-defined. The final output presents the calculated values of beta and lambda, it and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability. | ||
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| [http://help.synthesisplatform.net/rga9/monte_carlo_and_simumatic.htm | | [http://help.synthesisplatform.net/rga9/index.htm#monte_carlo_and_simumatic.htm V9 Help] or [http://help.synthesisplatform.net/rga10/index.htm#monte_carlo_and_simumatic.htm V10 Help] | ||
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| [http://reliawiki. | | [http://www.weibull.com/hotwire/issue129/relbasics129.htm related article(s)...] | ||
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| [http://reliawiki.org/index.php/RGA_SimuMatic_Example application example(s)...] | |||
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Latest revision as of 22:05, 23 April 2015
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| RGA's SimuMatic
RGA's SimuMatic performs a number of Monte Carlo simulations based on user-defined required test time or failure termination settings, and then recalculates the beta and lambda parameters for each of the generated data sets. The number of times that the Monte Carlo data sets are generated and the parameters recalculated is also user-defined. The final output presents the calculated values of beta and lambda, it and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability. |
Learn more from...
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V9 Help or V10 Help |
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the theory textbook... |
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related article(s)... |
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application example(s)... |