Weibull++ Simumatic Data 3P-Weibull - Revision history

Richard House: Redirected page to Template:WebNotes/Weibull++SimuMatic Data

2015-07-10T16:54:26Z

Redirected page to Template:WebNotes/Weibull++SimuMatic Data

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	{{WebNotes Weibull ~~SimuMatic Data}}~~		#REDIRECT [[Template:WebNotes/Weibull%2B%2BSimuMatic_Data]]

Richard House: Replaced content with '{{WebNotes Weibull SimuMatic Data}}'

2012-07-19T06:31:16Z

Replaced content with '{{WebNotes Weibull SimuMatic Data}}'

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	{{~~Template:NoSkin}}~~		{{WebNotes Weibull SimuMatic Data}}
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	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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	~~\| [http://help.synthesis8.com/weibull_alta8/weibull_simumatic_setup_window.htm the help files...]~~
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	~~\| [http://reliawiki.com/index.php/SimuMatic the theory textbook...]~~
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	~~\| [http://www.reliawiki.com/index.php/Weibull_Simumatic_Articles related article(s)...]~~
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	~~\| [http://reliawiki.com/index.php/Simumatic_Example use example(s)...]~~
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Nicolette Young at 21:50, 11 April 2012

2012-04-11T21:50:19Z

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Nikki Helms at 22:49, 22 March 2012

2012-03-22T22:49:56Z

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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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Nicolette Young at 19:17, 8 March 2012

2012-03-08T19:17:57Z

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Nicolette Young at 19:04, 8 March 2012

2012-03-08T19:04:55Z

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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!
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Nicolette Young at 18:18, 10 February 2012

2012-02-10T18:18:14Z

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Nicolette Young at 17:20, 10 February 2012

2012-02-10T17:20:16Z

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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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	\| ~~align="center"~~ valign="middle" \|[http://reliawiki.com/index.php/Template:Three-parameter_weibull_distribution 3p Weibull Distribution]		\| valign="middle" \|[http://reliawiki.com/index.php/Template:Three-parameter_weibull_distribution 3p Weibull Distribution]
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Nicolette Young at 23:11, 17 January 2012

2012-01-17T23:11:13Z

← Older revision		Revision as of 23:11, 17 January 2012
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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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Nicolette Young at 23:09, 17 January 2012

2012-01-17T23:09:53Z

← Older revision		Revision as of 23:09, 17 January 2012
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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]		\|[http://reliawiki.com/index.php/Template:Three-parameter_weibull_distribution 3p Weibull Distribution]
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