Generalized-Linear-Models.md

@@ -48,7 +48,10 @@ When constructing a generalized linear model, three major decisions must be made
                src="https://latex.codecogs.com/svg.latex?f(y;&space;\mu,\phi)=\frac{1} 
                {\Gamma(\phi^{-1})}(\frac{1}{\mu\phi})^{1/\phi}y^{1/\phi-1}exp(\frac{-y} 
                {\mu\phi})" title="f(y; \mu,\phi)=\frac{1}{\Gamma(\phi^{-1})}(\frac{1} 
-               {\mu\phi})^{1/\phi}y^{1/\phi-1}exp(\frac{-y}{\mu\phi})" /></a> 
+               {\mu\phi})^{1/\phi}y^{1/\phi-1}exp(\frac{-y}{\mu\phi})" /></a> &nbsp;&nbsp;
+               for <a href="https://www.codecogs.com/eqnedit.php?latex=y&space;>&space;0" 
+               target="_blank"><img src="https://latex.codecogs.com/svg.latex? 
+               y&space;>&space;0" title="y > 0" /></a>
 
       * Inverse Gaussian: <a href="https://www.codecogs.com/eqnedit.php? 
                           latex=f(y;&space;\mu,&space;\phi)=\frac{1} 
@@ -59,6 +62,10 @@ When constructing a generalized linear model, three major decisions must be made
                           {\sqrt{2\pi&space;y^3&space;\phi}}exp(-\frac{(y-\mu)^2} 
                           {2\mu^2\phi&space;y})" title="f(y; \mu, \phi)=\frac{1}{\sqrt{2\pi 
                           y^3 \phi}}exp(-\frac{(y-\mu)^2}{2\mu^2\phi y})" /></a> 
+                          &nbsp;&nbsp;for <a href="https://www.codecogs.com/eqnedit.php? 
+                          latex=y&space;>&space;0" target="_blank"><img 
+                          src="https://latex.codecogs.com/svg.latex? y&space;>&space;0" 
+                          title="y > 0" /></a>
 
     - Discrete variables: 
       * Poisson: <a href="https://www.codecogs.com/eqnedit.php?