Template:WebNotes/RGASimuMatic: Difference between revisions

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RGA's SimuMatic essentially 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 are recalculated is also user-defined. The final output presents the calculated values of beta and lambda, and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability.
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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Revision as of 22:59, 8 May 2014

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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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