Weibull++ Simumatic Data 4 Subpop-Mixed Weibull: Difference between revisions

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Weibull++ integrates the SimuMatic utility, which can be used to perform a large number of reliability analyses on data sets that have been created using simulation. You can use this utility to investigate a variety of reliability questions, including analyses 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 bounds, d) better understand the concepts behind confidence intervals, e) design reliability tests, and much more
Weibull++ 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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Revision as of 23:01, 22 March 2012

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Simumatic Data 4 Subpop-Mixed Weibull

Weibull++ 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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Helpblue.png the help files...
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Articleblue.png related article(s)...
Bulbblue.png use example(s)...
















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