Lognormal Distribution Functions

This article also appears in the Life Data Analysis Reference and Accelerated Life Testing Data Analysis Reference books.

The Mean or MTTF
The mean of the lognormal distribution, $$\mu \,\!$$, is discussed in Kececioglu [19]:


 * $$\mu ={{e}^{{\mu }'+\tfrac{1}{2}\sigma'^{2}}}$$

The mean of the natural logarithms of the times-to-failure, $$\mu'\,\!$$, in terms of $$\bar{T}\,\!$$  and  $$\,\!$$  is given by:


 * $${\mu }'=\ln \left( {\bar{T}} \right)-\frac{1}{2}\ln \left( \frac{\sigma^{2}}+1 \right)$$

The Median
The median of the lognormal distribution, $$\breve{T}$$, is discussed in Kececioglu [19]:


 * $$\breve{T}={{e}^}$$

The Mode
The mode of the lognormal distribution, $$\tilde{T}$$, is discussed in Kececioglu [19]:


 * $$\tilde{T}={{e}^{{\mu }'-\sigma'^{2}}}$$

The Standard Deviation
The standard deviation of the lognormal distribution, $${\sigma }_{T}\,\!$$, is discussed in Kececioglu [19]:


 * $${\sigma}_{T} =\sqrt{\left( {{e}^{2\mu '+\sigma {{'}^{2}}}} \right)-\left( {{e}^{\sigma {{'}^{2}}}}-1 \right)}$$

The standard deviation of the natural logarithms of the times-to-failure, $${\sigma}'\,\!$$, in terms of  $$\bar{T}\,\!$$  and  $${\sigma}\,\!$$  is given by:


 * $$\sigma '=\sqrt{\ln \left( \frac{{\sigma}_{T}^{2}}+1 \right)}$$

The Lognormal Reliability Function
The reliability for a mission of time $$t\,\!$$, starting at age 0, for the lognormal distribution is determined by:


 * $$R(t)=\int_{t}^{\infty }f(x)dx$$

or:


 * $${{R}({t})}=\int_{\text{ln}(t)}^{\infty }\frac{1}{{{\sigma' }}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{x-{\mu }'}{{{\sigma' }}} \right)}^{2}}}}dx$$

As with the normal distribution, there is no closed-form solution for the lognormal reliability function. Solutions can be obtained via the use of standard normal tables. Since the application automatically solves for the reliability we will not discuss manual solution methods. For interested readers, full explanations can be found in the references.

The Lognormal Conditional Reliability Function
The lognormal conditional reliability function is given by:


 * $$R(t|T)=\frac{R(T+t)}{R(T)}=\frac{\int_{\text{ln}(T+t)}^{\infty }\tfrac{1}{{{\sigma' }}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{x-{\mu }'}{{{\sigma' }}} \right)}^{2}}}}ds}{\int_{\text{ln}(T)}^{\infty }\tfrac{1}{{{\sigma' }}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{x-{\mu }'}{{{\sigma' }}} \right)}^{2}}}}dx}$$

Once again, the use of standard normal tables is necessary to solve this equation, as no closed-form solution exists.

The Lognormal Reliable Life Function
As there is no closed-form solution for the lognormal reliability equation, no closed-form solution exists for the lognormal reliable life either. In order to determine this value, one must solve the following equation for $$t$$:


 * $${{R}_{t}}=\int_{\text{ln}(t)}^{\infty }\frac{1}{{{\sigma' }}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{x-{\mu }'}{{{\sigma' }}} \right)}^{2}}}}dx$$

The Lognormal Failure Rate Function
The lognormal failure rate is given by:


 * $$\lambda (t)=\frac{f(t)}{R(t)}=\frac{\tfrac{1}{t\cdot \sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{(\tfrac{{t}'-{\mu }'}{})}^{2}}}}}{\int_^{\infty }\tfrac{1}{{{\sigma' }}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{(\tfrac{x-{\mu }'}{{{\sigma' }}})}^{2}}}}dx}$$

As with the reliability equations, standard normal tables will be required to solve for this function.