Weibull++ Simumatic Data 1P-Weibull - Revision history

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

2015-07-10T16:52:43Z

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

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

Lisa Hacker: Replaced content with '{{WebNotes Weibull SimuMatic Data}}'

2012-07-18T10:51:21Z

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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Nicolette Young at 21:35, 19 April 2012

2012-04-19T21:35:56Z

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Nicolette Young at 21:33, 19 April 2012

2012-04-19T21:33:04Z

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	[[File:docedit.png\|20px\|right\|link=http://~~www.~~reliawiki.com/index.php~~?title=~~Weibull%2B%~~2B_Simumatic_Data_1P~~-~~Weibull~~&action=edit]]		[[File:docedit.png\|20px\|right\|link=http://reliawiki.com/index.php/Weibull%2B%2B_Non-Parametric_LDA_Data_KaplanMeier&action=edit]]

Nicolette Young at 20:59, 11 April 2012

2012-04-11T20:59:03Z

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Nikki Helms at 22:47, 22 March 2012

2012-03-22T22:47:54Z

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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 SimuMatic utility in 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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Nikki Helms at 22:39, 22 March 2012

2012-03-22T22:39:43Z

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Nicolette Young at 19:04, 8 March 2012

2012-03-08T19:04:19Z

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Nicolette Young at 18:55, 8 March 2012

2012-03-08T18:55:07Z

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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 SimuMatic utility in Weibull++.		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 SimuMatic utility in Weibull++.
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			[[Weibull Simumatic Articles]]
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Nicolette Young at 18:54, 8 March 2012

2012-03-08T18:54:32Z

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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 SimuMatic utility in Weibull++.
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