It appears my suspicions about this being homework were unfounded.
Given the additional problems with excess zeroes, you may want to
examine the extremely informative material on analysis of such
problems written by Zeileis, Kleiber and Jackman:
(easily found in case you have misplaced it, as I had, with a Google
search for:
"r-project" zero-inflated hurdle models
"Regression Models for Count Data in R"
http://cran.cnr.berkeley.edu/web/packages/pscl/vignettes/countreg.pdf
--
David.
On Feb 6, 2010, at 10:56 PM, kupz wrote:
Agreed, it would be simple to propose the relationship, however the
regression is necessary to model the data properly. Unfortunately a
simple
decay based on those two points does not have the proper shape
necessary.
This is due to an extreme amount of zero inflation with this
fisheries data.
On another note, I have a working solution for the problem, I am
excluding a
portion of the zero data based on some other apriori assumptions..
Thanks
for your help though.
--
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