beta fix

1 files changed, 1 insertions, 1 deletions

diff --git a/intro.tex b/intro.tex
index 9b1be51..9f98137 100644
--- a/intro.tex
+++ b/intro.tex
@@ -2,7 +2,7 @@ There is a mature area of experimental design, where the setting is as follows.
 There is an {\em experimenter}  \E\ with access to a population of $n$ members. 
 Each member $i\in  \{1,\ldots,n\}$ is associated with a set of parameters (or features) $x_i\in \reals^d$, 
 known to the experimenter. 
-\E\ wishes to perform an experiment:  the outcome for a member $i$ is denoted $y_i$, which is unknown to \E\ before the experiment is performed.  Typically, \E\ has a hypothesis of the relationship between $x_i$'s and $y_i$'s, such as, say linear, i.e.,  $y_i \approx  \T{\beta} x_i$., and the experiment lets \E\ derive some estimate of \T{\beta}$. 
+\E\ wishes to perform an experiment:  the outcome for a member $i$ is denoted $y_i$, which is unknown to \E\ before the experiment is performed.  Typically, \E\ has a hypothesis of the relationship between $x_i$'s and $y_i$'s, such as, say linear, i.e.,  $y_i \approx  \T{\beta} x_i$., and the experiment lets \E\ derive some estimate of $\T{\beta}$.