Weibull++ Simumatic Data 2P-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++ 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!
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| [[Image:Helpblue.png]]
| [http://help.synthesis8.com/weibull_alta8/weibull_simumatic_setup_window.htm the help files...]
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| [[Image:Book blue.png]]
| [http://reliawiki.com/index.php/SimuMatic the theory textbook...] 
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| [[Image:Articleblue.png]]
| [http://www.reliawiki.com/index.php/Weibull_Simumatic_Articles related article(s)...]
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| valign="middle" | [http://reliawiki.com/index.php/Template:Two-parameter_weibull_distribution 2p Weibull Distribution]
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| [http://reliawiki.com/index.php/Template:Simumatic_Example use example(s)...]
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Revision as of 19:04, 8 March 2012

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Simumatic Data 2p-Weibull

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!

Learn more from...

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
















Docedit.png