ALTA Simumatic Data GLL-Lognormal: Difference between revisions

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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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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++.  
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| valign="middle" | [http://www.reliawiki.com/index.php/Template:Gll_relationship#General_Log-Linear_Relationship General Log-Linear Relationship]
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Revision as of 19:01, 22 March 2012

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Simumatic Data GLL-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).



Learn more from...

Helpblue.png [Link1 the help files...]
Book blue.png theory textbook...
Articleblue.png related article(s)...
Bulbblue.png use example(s)...















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