ALTA Simumatic Data Eyring-Lognormal: Difference between revisions

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Reliability analysis using simulation, in which reliability analyses are performed a large number of times on data sets that have been created using Monte Carlo simulation, can be a valuable tool for reliability practitioners. Such simulation analyses can assist the analyst to a) better understand life data analysis concepts, b) experiment with the influences of sample sizes and censoring schemes on analysis methods, c) construct simulation-based confidence intervals, d) better understand the concepts behind confidence intervals and e) design reliability tests. This section explores some of the results that can be obtained from simulation analyses with the SimuMatic utility in Weibull++.  
ALTA SimuMatic generates multiple data sets using Monte Carlo simulation. It then analyzes each data set individually (e.g., to find the reliability at a specified time) and the group of data sets as a whole (e.g., to find the average reliability at a specified time across the data sets).  
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| [http://reliawiki.com/index.php/Eyring_Relationship the theory textbook...]   
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| [http://www.reliawiki.com/index.php/Temporary_needs_example_page use example(s)...]
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Revision as of 18:11, 22 March 2012

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Simumatic Data Eyring-Lognormal

ALTA SimuMatic generates multiple data sets using Monte Carlo simulation. It then analyzes each data set individually (e.g., to find the reliability at a specified time) and the group of data sets as a whole (e.g., to find the average reliability at a specified time across the data sets).


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