playing with log-normal dist

vignettes/distributions.Rmd

@@ -258,7 +258,9 @@ A random variable, $X$ is lognormally distributed if the *logarithm* of $X$ is n
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   <b><u>Lognormal Distribution</u></b>
 
-  $${f_X}\left( {x;\mu ,\sigma } \right) = \frac{1}{{\sqrt {2\pi } {\kern 1pt} \sigma x}}\exp \left[ { - \frac{{{{\left( {\ln x - \mu } \right)}^2}}}{{2{\sigma ^2}}}} \right]; \quad x,\sigma  > 0; - \infty  < \mu  < \infty $$
+  $${f_X}\left( {x;\mu ,\sigma } \right) = \frac{1}{{\sqrt {2\pi } {\kern 1pt} \sigma x}}\exp \left[ { - \frac{{{{\left( {\ln x - \mu } \right)}^2}}}{{2{\sigma^2}}}} \right] $$
+
+$$; \quad x,\sigma  > 0; - \infty  < \mu  < \infty$$
 
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