1-Parameter Weibull Example - Revision history

Lisa Hacker at 03:24, 8 August 2012

2012-08-08T03:24:44Z

← Older revision		Revision as of 03:24, 8 August 2012
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	<noinclude>{{Banner Weibull Examples}}</noinclude>		<noinclude>{{Banner Weibull Examples}}</noinclude>

	'''Weibull++ Standard Folio Data 1P-Weibull'''		'''Weibull++ Standard Folio Data 1P-Weibull'''

Richard House at 07:44, 7 August 2012

2012-08-07T07:44:29Z

← Older revision		Revision as of 07:44, 7 August 2012
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	Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, the 1P-Weibull distribution is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is 1.5.		Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, the 1P-Weibull distribution is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is 1.5.


	'''Solution'''		'''Solution'''

Richard House at 07:36, 3 August 2012

2012-08-03T07:36:49Z

← Older revision		Revision as of 07:36, 3 August 2012
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	[[Image:1P Weibull Parameters.png\|center]]		[[Image:1P Weibull Parameters.png\|center]]
	* Probability plot:		* Probability plot:
	[[Image:1P Weibull PPlot.png\|center\|~~400px~~]]		[[Image:1P Weibull PPlot.png\|center\|500px]]
	* Use the QCP to predict reliability:		* Use the QCP to predict reliability:
	[[Image:1P Weibull QCP.png\|center\|~~400px~~]]		[[Image:1P Weibull QCP.png\|center\|500px]]

	The QCP shows that the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at a confidence level of 90% are 0.7619 and 0.9644.		The QCP shows that the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at a confidence level of 90% are 0.7619 and 0.9644.

Chris Kahn: moved 1P Weibull Example to 1-Parameter Weibull Example

2012-07-23T05:27:07Z

moved 1P Weibull Example to 1-Parameter Weibull Example

← Older revision	Revision as of 05:27, 23 July 2012
(No difference)

Kate Racaza at 10:24, 20 July 2012

2012-07-20T10:24:21Z

← Older revision		Revision as of 10:24, 20 July 2012
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	<noinclude>{{Banner Weibull Examples}}</noinclude>		<noinclude>{{Banner Weibull Examples}}</noinclude>


	'''Weibull++ Standard Folio Data 1P-Weibull'''		'''Weibull++ Standard Folio Data 1P-Weibull'''

Kate Racaza: removed header

2012-07-20T10:24:04Z

removed header

← Older revision		Revision as of 10:24, 20 July 2012
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	<noinclude>{{Banner Weibull Examples}}</noinclude>		<noinclude>{{Banner Weibull Examples}}</noinclude>
	~~===~~Weibull++ Standard Folio Data 1P-Weibull~~===~~

			'''Weibull++ Standard Folio Data 1P-Weibull'''

	Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, the 1P-Weibull distribution is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is 1.5.		Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, the 1P-Weibull distribution is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is 1.5.

Kate Racaza: proofread

2012-07-20T10:10:33Z

proofread

← Older revision		Revision as of 10:10, 20 July 2012
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	{{Banner Weibull Examples}}		<noinclude>{{Banner Weibull Examples}}</noinclude>
			===Weibull++ Standard Folio Data 1P-Weibull===
			Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, the 1P-Weibull distribution is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is 1.5.

	~~==Example: Weibull++ Standard Folio Data 1P-Weibull==~~
	Six prototypes of a system were tested. The failure times are 16, 34, 53, 75, 93 and 120. Due to the small sample size, 1P-Weibull is chosen to model the data. According to previous similar products, the slope parameter <math>\beta </math> is set to 1.5. Choose the 1P-Weibull distribution in Weibull++ and calculate it, the results are given below.

	~~===~~Solution~~===~~		'''Solution'''

			Choose the 1P-Weibull distribution in Weibull++ and calculate it, the results are given below.
	* Estimated model parameters:		* Estimated model parameters:
	[[Image:1P Weibull Parameters.png\|center]]		[[Image:1P Weibull Parameters.png\|center]]
	* Probability plot:		* Probability plot:
	[[Image:1P Weibull PPlot.png\|center\|400px]]		[[Image:1P Weibull PPlot.png\|center\|400px]]
	* Use QCP to predict reliability:		* Use the QCP to predict reliability:
	[[Image:1P Weibull QCP.png\|center\|400px]]		[[Image:1P Weibull QCP.png\|center\|400px]]

	The ~~above figure~~ shows the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at confidence level of 90% are 0.7619 and 0.9644.		The QCP shows that the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at a confidence level of 90% are 0.7619 and 0.9644.

Lisa Hacker at 12:05, 17 July 2012

2012-07-17T12:05:35Z

← Older revision		Revision as of 12:05, 17 July 2012
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	The above figure shows the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at confidence level of 90% are 0.7619 and 0.9644.		The above figure shows the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at confidence level of 90% are 0.7619 and 0.9644.

	~~[[Category:Weibull++ Examples]]~~

Lisa Hacker at 11:40, 17 July 2012

2012-07-17T11:40:44Z

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	{~~\| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;"~~		{{Banner Weibull Examples}}
	\|-
	~~\| valign="middle" align="left" bgcolor=EEEDF7\|[[Image:~~Weibull-Examples~~-banner.png\|400px\|center]]~~
	\|}

	==Example: Weibull++ Standard Folio Data 1P-Weibull==		==Example: Weibull++ Standard Folio Data 1P-Weibull==

Lisa Hacker at 10:08, 17 July 2012

2012-07-17T10:08:56Z

← Older revision		Revision as of 10:08, 17 July 2012
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	[[Image:1P Weibull QCP.png\|center\|400px]]		[[Image:1P Weibull QCP.png\|center\|400px]]

	The above ~~Figure~~ shows the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at confidence level of 90% are 0.7619 and 0.9644.		The above figure shows the reliability at 15 hours is 0.9054, and its two-sided confidence bounds at confidence level of 90% are 0.7619 and 0.9644.

	[[Category:Weibull++ Examples]]		[[Category:Weibull++ Examples]]