How best to handle ratios in a model?
Posted: Wed Apr 06, 2005 11:35 am
Posted by <rgd6@cornell.edu>
This should be a simple question:
I regularly use ratios in models, especially where an influencing model
component is ""normalized"". If these ratios are far from zero, then things
work fine, but if numerator and denominator both approach zero (with
variations in both) things can get messy and unpredictable. The specific
instance I am thinking of is if both are approaching zero then where we
might expect a ratio of 1/1 we can easily get some very different outcomes.
Some modification of the ratio is called for....
are there any standard or ""best practice"" techniques for dealing with these
situations?
Richard
Posted by <rgd6@cornell.edu>
posting date Wed, 6 Apr 2005 15:54:34 +0700
This should be a simple question:
I regularly use ratios in models, especially where an influencing model
component is ""normalized"". If these ratios are far from zero, then things
work fine, but if numerator and denominator both approach zero (with
variations in both) things can get messy and unpredictable. The specific
instance I am thinking of is if both are approaching zero then where we
might expect a ratio of 1/1 we can easily get some very different outcomes.
Some modification of the ratio is called for....
are there any standard or ""best practice"" techniques for dealing with these
situations?
Richard
Posted by <rgd6@cornell.edu>
posting date Wed, 6 Apr 2005 15:54:34 +0700