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===The Lognormal Distribution===
=== The Lognormal Distribution ===


The lognormal distribution is commonly used for general reliability analysis, cycles-to-failure in fatigue, material strengths and loading variables in probabilistic design.
The lognormal distribution is commonly used for general reliability analysis, cycles-to-failure in fatigue, material strengths and loading variables in probabilistic design. When the natural logarithms of the times-to-failure are normally distributed, then we say that the data follow the lognormal distribution. <br>The <span class="texhtml">''p''''d''''f''</span> of the lognormal distribution is given by:  
When the natural logarithms of the times-to-failure are normally distributed, then we say that the data follow the lognormal distribution.
<br>
The <math>pdf</math> of the lognormal distribution is given by:


::<math>\begin{align}
::<math>\begin{align}
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\end{align}
\end{align}
</math>
</math>
<br>
 
where,
<br>where,  
 
::<math>\begin{align}
::<math>\begin{align}
  &  {\mu'}= \text{mean of the natural logarithms of the times-to-failure} \\  
  &  {\mu'}= \text{mean of the natural logarithms of the times-to-failure} \\  
&  {\sigma'}= \text{standard deviation of the natural logarithms of the times to failure}   
&  {\sigma'}= \text{standard deviation of the natural logarithms of the times to failure}   
\end{align}</math>
\end{align}</math>&nbsp;


The lognormal distribution and its characteristics are presented in more detail in Chapter [[The Lognormal Distribution]].
The lognormal distribution and its characteristics are presented in&nbsp;detail in the&nbsp;chapter [[The Lognormal Distribution|The Lognormal Distribution]].  


<br>
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Revision as of 20:10, 11 March 2012

The Lognormal Distribution

The lognormal distribution is commonly used for general reliability analysis, cycles-to-failure in fatigue, material strengths and loading variables in probabilistic design. When the natural logarithms of the times-to-failure are normally distributed, then we say that the data follow the lognormal distribution.
The p'd'f of the lognormal distribution is given by:

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


where,

[math]\displaystyle{ \begin{align} & {\mu'}= \text{mean of the natural logarithms of the times-to-failure} \\ & {\sigma'}= \text{standard deviation of the natural logarithms of the times to failure} \end{align} }[/math] 

The lognormal distribution and its characteristics are presented in detail in the chapter The Lognormal Distribution.