Template:2ndhalfofWB: Difference between revisions
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<br>Note that this is not the same as the so called "WeiBayes model," which is really a one-parameter Weibull distribution that assumes a fixed value (constant) for the shape parameter and solves for the scale parameter. The Bayesian-Weibull feature in Weibull++ is actually a true Bayesian model and offers an alternative to the one-parameter Weibull by including the variation and uncertainty that is present in the prior estimation of the shape parameter. <br> | <br>Note that this is not the same as the so called "WeiBayes model," which is really a one-parameter Weibull distribution that assumes a fixed value (constant) for the shape parameter and solves for the scale parameter. The Bayesian-Weibull feature in Weibull++ is actually a true Bayesian model and offers an alternative to the one-parameter Weibull by including the variation and uncertainty that is present in the prior estimation of the shape parameter. <br> | ||
This analysis method and its characteristics are presented in detail in [[Weibull | This analysis method and its characteristics are presented in detail in [[Bayesian-Weibull Analysis]]. | ||
Revision as of 22:25, 30 March 2012
Note that this is not the same as the so called "WeiBayes model," which is really a one-parameter Weibull distribution that assumes a fixed value (constant) for the shape parameter and solves for the scale parameter. The Bayesian-Weibull feature in Weibull++ is actually a true Bayesian model and offers an alternative to the one-parameter Weibull by including the variation and uncertainty that is present in the prior estimation of the shape parameter.
This analysis method and its characteristics are presented in detail in Bayesian-Weibull Analysis.