Weibull++ Simumatic Data 3P-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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|[http://reliawiki.com/index.php/Template:Three-parameter_weibull_distribution 3p Weibull Distribution] | | align="center" valign="middle" |[http://reliawiki.com/index.php/Template:Three-parameter_weibull_distribution 3p Weibull Distribution] | ||
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Revision as of 23:11, 17 January 2012
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Reliability Web Notes |
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| Simumatic Data 3p-Weibull |
| Weibull++ |
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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! |
| 3p Weibull Distribution |