Template:LoglogisticDistribution: Difference between revisions

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(Created page with '===The Loglogistic Distribution=== As may be summarized from the name, the loglogistic distribution is similar to the logistic distribution. Specifically, the data follows a logl…')
 
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::<math> \begin{align}
::<math> \begin{align}
   f(t)= & \frac{e^z}{\sigma t{(1+{e^z})^2}} \\  
   f(t)= & \frac{e^z}{\sigma_{t'}{(1+{e^z})^2}} \\  
   z= & \frac{T'-{\mu }'}{\sigma } \\  
   z= & \frac{t'-{\mu }'}{\sigma } \\  
f(t)\ge  & 0,t>0,{{\sigma }_{T'}}>0, \\  
f(t)\ge  & 0,t>0,{{\sigma }_{t'}}>0, \\  
   {T}'= & ln(t)   
   {t}'= & ln(t)   
  \end{align}</math>
  \end{align}</math>
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::<math>\begin{align}  
::<math>\begin{align}  
  \mu'= & \text{scale parameter}  \\
  \mu'= & \text{scale parameter}  \\
   \sigma_{T}=& \text{shape parameter}
   \sigma_{t'}=& \text{shape parameter}
\end{align}</math>
\end{align}</math>
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The loglogistic distribution and its characteristics are presented in more detail in Chapter 10.
The loglogistic distribution and its characteristics are presented in more detail in Chapter 10.
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<br>

Revision as of 21:57, 3 February 2012

The Loglogistic Distribution

As may be summarized from the name, the loglogistic distribution is similar to the logistic distribution. Specifically, the data follows a loglogistic distribution when the natural logarithms of the times-to-failure follow a logistic distribution. Accordingly, the loglogistic and lognormal distributions also share many similarities.
The [math]\displaystyle{ pdf }[/math] of the loglogistic distribution is given by:

[math]\displaystyle{ \begin{align} f(t)= & \frac{e^z}{\sigma_{t'}{(1+{e^z})^2}} \\ z= & \frac{t'-{\mu }'}{\sigma } \\ f(t)\ge & 0,t\gt 0,{{\sigma }_{t'}}\gt 0, \\ {t}'= & ln(t) \end{align} }[/math]


where,


[math]\displaystyle{ \begin{align} \mu'= & \text{scale parameter} \\ \sigma_{t'}=& \text{shape parameter} \end{align} }[/math]


The loglogistic distribution and its characteristics are presented in more detail in Chapter 10.