anchor.diff:  = Empirical Distributions
   
  -The link:index.html#inform_dist[`inform_dist`] struct provides an _emperical_
  +The link:index.html#inform_dist[`inform_dist`] struct provides an _empirical_
   distribution, i.e. histogram, representing the observed frequencies of some
   fixed-sized set of events. This class is the basis for all of the fundamental
   information measures provided on discrete probability distributions.
  
positive.code: ----
  
  === Example 2: Making Observations
  Once a distribution has been constructed, we can begin making observatoins.
  There are two methods for doing so. The first allows the user to directly set
  the observation count for a particular event:
  [source,c]
  
negative.code: 
  === Example 4: Shannon Entropy
  Once you have a distribution, you can do lots of fun things with it. In this
  example, we will compute the Shannon entropy of a time series of observed
  events.
  [source,c]
  ----
  