“GIP is a measure of how much the observed values i in a large population tend to cluster on a few values; if there is no clustering, Gµ=0, and if there is complete clustering on one value, Gµ= log2(Nµ). It is a property of the population, not of an individual.”
For instance:
“GIP is a measure of how much the observed values i in a large population tend to cluster on a few values; if there is no clustering, Gµ=0, and if there is complete clustering on one value, Gµ= log2(Nµ). It is a property of the population, not of an individual.”
http://dspace.dial.pipex.com/jcollie/sle/