Weibull++ Standard Folio Data B-W Uniform Prior: Difference between revisions

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The prior distribution of <span class="texhtml">β</span>, denoted as <math> \varphi (\beta ) </math>, can be selected from the following distributions: normal, lognormal, exponential and uniform. The procedure of performing a Weibull-Bayesian analysis is as follows: 
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:*Collect the times-to-failure data.
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:*Specify a prior distribution for <span class="texhtml">β</span> (the prior for <span class="texhtml">η</span> is assumed to be 1/<span class="texhtml">η).</span>
:*Obtain the posterior  from Eqn. (EQNREF WeibBayes ).
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| align="center" valign="middle" | [http://reliawiki.com/index.php/Template:Weibull-bayesian_analysis#Weibull-Bayesian_Analysis Get More Details...]
| align="center" valign="middle" | [http://reliawiki.com/index.php/Template:Weibull-bayesian_analysis#Weibull-Bayesian_Analysis Get More Details...]

Revision as of 22:32, 16 January 2012

Reliability Web Notes

Standard Folio Data B-W with Uniform Prior
Weibull++

The prior distribution of β, denoted as [math]\displaystyle{ \varphi (\beta ) }[/math], can be selected from the following distributions: normal, lognormal, exponential and uniform. The procedure of performing a Weibull-Bayesian analysis is as follows:

  • Collect the times-to-failure data.
  • Specify a prior distribution for β (the prior for η is assumed to be 1/η).
  • Obtain the posterior from Eqn. (EQNREF WeibBayes ).
Get More Details...
[Link2 See Examples...]



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