Template:Weibull-bayesian distribution - Revision history

Lisa Hacker: Redirected page to The Weibull Distribution

2012-08-09T10:12:02Z

Redirected page to The Weibull Distribution

← Older revision		Revision as of 10:12, 9 August 2012
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	[[~~Category: For Deletion~~]]		#REDIRECT [[The Weibull Distribution]]

Lisa Hacker: Replaced content with 'Category: For Deletion'

2012-07-20T12:18:32Z

Replaced content with 'Category: For Deletion'

← Older revision		Revision as of 12:18, 20 July 2012
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	~~'''Bayesian-Weibull Analysis'''~~		[[Category: For Deletion]]

	Another approach is the Weibull-Bayesian analysis method, which assumes that the analyst has some prior knowledge about the distribution of the shape parameter of the Weibull distribution (beta). There are many practical applications for this model, particularly when dealing with small sample sizes and/or when some prior knowledge for the shape parameter is available. For ~~example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.~~

	~~{{2ndhalfofWB}}~~

Lisa Hacker at 21:39, 30 March 2012

2012-03-30T21:39:33Z

← Older revision		Revision as of 21:39, 30 March 2012
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	'''Bayesian-Weibull Analysis'''		'''Bayesian-Weibull Analysis'''

	Another approach is the Weibull-Bayesian analysis method, which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ~~( <math>β</math>)~~ of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or when some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian analysis method, which assumes that the analyst has some prior knowledge about the distribution of the shape parameter of the Weibull distribution (beta). There are many practical applications for this model, particularly when dealing with small sample sizes and/or when some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	{{2ndhalfofWB}}		{{2ndhalfofWB}}

Lisa Hacker at 21:39, 30 March 2012

2012-03-30T21:39:09Z

← Older revision		Revision as of 21:39, 30 March 2012
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	'''~~The~~ Weibull~~-Bayesian Distribution~~'''		'''Bayesian-Weibull Analysis'''

	Another approach is the Weibull-Bayesian ~~model~~ which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <~~span class="texhtml"~~>β)</~~span~~> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian analysis method, which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>β</math>) of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or when some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	{{2ndhalfofWB}}		{{2ndhalfofWB}}

Kate Racaza at 16:00, 12 March 2012

2012-03-12T16:00:32Z

← Older revision		Revision as of 16:00, 12 March 2012
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	'''The Weibull-Bayesian Distribution'''		'''The Weibull-Bayesian Distribution'''
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <~~math~~>~~\beta~~ )</~~math~~> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.
			Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <span class="texhtml">β)</span> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	{{2ndhalfofWB}}		{{2ndhalfofWB}}

Harry Guo: /* The Weibull-Bayesian Distribution */

2012-02-09T23:20:11Z

The Weibull-Bayesian Distribution

← Older revision		Revision as of 23:20, 9 February 2012
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	~~====~~The Weibull-Bayesian Distribution~~====~~		'''The Weibull-Bayesian Distribution'''
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	{{2ndhalfofWB}}		{{2ndhalfofWB}}

Nicolette Young: /* The Weibull-Bayesian Distribution */

2012-02-07T17:26:49Z

The Weibull-Bayesian Distribution

← Older revision		Revision as of 17:26, 7 February 2012
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	====The Weibull-Bayesian Distribution====		====The Weibull-Bayesian Distribution====
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

			{{2ndhalfofWB}}

Nicolette Young: /* The Weibull-Bayesian Distribution */

2012-02-07T17:25:00Z

The Weibull-Bayesian Distribution

← Older revision		Revision as of 17:25, 7 February 2012
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	====The Weibull-Bayesian Distribution====		====The Weibull-Bayesian Distribution====
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	~~{{2ndhalfofWB}}~~

Nicolette Young: /* The Weibull-Bayesian Distribution */

2012-02-07T17:23:49Z

The Weibull-Bayesian Distribution

← Older revision		Revision as of 17:23, 7 February 2012
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	====The Weibull-Bayesian Distribution====		====The Weibull-Bayesian Distribution====
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

			{{2ndhalfofWB}}

Nicolette Young at 17:23, 7 February 2012

2012-02-07T17:23:31Z

← Older revision		Revision as of 17:23, 7 February 2012
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	====The Weibull-Bayesian Distribution====		====The Weibull-Bayesian Distribution====
	Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.		Another approach is the Weibull-Bayesian model which assumes that the analyst has some prior knowledge about the distribution of the shape parameter ( <math>\beta )</math> of the Weibull distribution. There are many practical applications for this model, particularly when dealing with small sample sizes and/or some prior knowledge for the shape parameter is available. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data or physics-of-failure.

	~~{{2ndhalfofWB}}~~