Template:Alta weibull distribution: Difference between revisions

Latest revision as of 01:42, 16 August 2012

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-==The Weibull Distribution==
+#REDIRECT [[Distributions_Used_in_Accelerated_Testing#The_Weibull_Distribution]]
-<br>
-The Weibull distribution is one of the most commonly used distributions in reliability engineering because of the many shapes it attains for various values of  <math>\beta </math>  (slope). It can therefore model a great variety of data and life characteristics [18].
-<br>
-The 2-parameter Weibull  <math>pdf</math>  is given by:
-<br>
-::<math>f(T)=\frac{\beta }{\eta }{{\left( \frac{T}{\eta } \right)}^{\beta -1}}{{e}^{-{{\left( \tfrac{T}{\eta } \right)}^{\beta }}}}</math>
-:where:
-::<math>f(T)\ge 0,\text{ }T\ge 0,\text{ }\beta >0,\text{ }\eta >0\text{ }</math>
-<br>
-:and:
-:•	 <math>\eta =</math>  scale parameter.
-:•	 <math>\beta =</math>  shape parameter (or slope).
-<br>
-{{aw statistical properties summary}}
-{{aw characteristics}}
-===Parameter Estimation===
-The estimates of the parameters of the Weibull distribution can be found graphically on probability plotting paper, or analytically using either least squares or maximum likelihood. (Parameter estimation methods are presented in detail in Appendix B.)
-<br>
-{{aw probability plotting}}
-{{mle alta for ed}}