small fixes

likelihood/lecture/likelihood.tex

@@ -1,4 +1,3 @@
-
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \chapter{\tr{Maximum likelihood estimation}{Maximum-Likelihood-Sch\"atzer}}
@@ -286,7 +285,7 @@ out of \eqnref{mleslope} and we get
 To see what this expression is, we need to standardize the data. We
 make the data mean free and normalize them to their standard
 deviation, i.e. $x \mapsto (x - \bar x)/\sigma_x$. The resulting
-numbers are also called \enterm{$z$-values} or $z$-scores and they
+numbers are also called \enterm[z-values]{$z$-values} or $z$-scores and they
 have the property $\bar x = 0$ and $\sigma_x = 1$. $z$-scores are
 often used in Biology to make quantities that differ in their units
 comparable. For standardized data the variance