deletions | additions       diff --git a/section_More_Detail_subsection_What__.tex b/section_More_Detail_subsection_What__.tex  index 040b839..c0aedbc 100644  --- a/section_More_Detail_subsection_What__.tex  +++ b/section_More_Detail_subsection_What__.tex 
...
{L(\beta)} = \prod_{i=1}^np(x_i)^{y_i}(1-p(x_i))^{1-y_i}  \end{equation}  We could substitute the equation for \textit{p(x)} from above but we will not here. The form of the likelihood function, which is the same as the distribution of the response, reflects the fact that we assume the response follows a \textit{binomial distribution}. Finding the parameters $\beta_i$ that maximizes the likelihood function involves numerical procedures analysis  that are outside the scope of this paper and are  not a concern for a modeler.