Template:Example: Gamma Distribution Example: Difference between revisions

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::<math>\begin{align}
::<math>\begin{align}
   & \hat{\mu }= & 0.2915 \\  
   & \hat{\mu }= 0.2915 \\  
  & \hat{k}= & 41.1726   
  & \hat{k}= 41.1726   
\end{align}</math>
\end{align}</math>


Line 28: Line 28:


::<math>\begin{align}
::<math>\begin{align}
   & \hat{\mu }= & 0.2915 \\  
   & \hat{\mu }= 0.2915 \\  
  & \hat{k}= & 41.1726   
  & \hat{k}= 41.1726   
\end{align}</math>
\end{align}</math>

Revision as of 22:31, 14 February 2012

A Gamma Distribution Example

Twenty four units were reliability tested and the following life test data were obtained:

[math]\displaystyle{ \begin{matrix} \text{61} & \text{50} & \text{67} & \text{49} & \text{53} & \text{62} \\ \text{53} & \text{61} & \text{43} & \text{65} & \text{53} & \text{56} \\ \text{62} & \text{56} & \text{58} & \text{55} & \text{58} & \text{48} \\ \text{66} & \text{44} & \text{48} & \text{58} & \text{43} & \text{40} \\ \end{matrix} }[/math]

Fitting the gamma distribution to this data, using maximum likelihood as the analysis method, gives the following parameters:

[math]\displaystyle{ \begin{align} & \hat{\mu }= 7.72E-02 \\ & \hat{k}= 50.4908 \end{align} }[/math]

Using rank regression on [math]\displaystyle{ X, }[/math] the estimated parameters are:

[math]\displaystyle{ \begin{align} & \hat{\mu }= 0.2915 \\ & \hat{k}= 41.1726 \end{align} }[/math]


Using rank regression on [math]\displaystyle{ Y, }[/math] the estimated parameters are:

[math]\displaystyle{ \begin{align} & \hat{\mu }= 0.2915 \\ & \hat{k}= 41.1726 \end{align} }[/math]