Abstract
A FORTRAN 77 computer program has been developed for obtaining the maximum likelihood estimates of unknown parameters in the Poisson regression model. The parameters are estimated using the method of scoring which is based on the Taylor series expansion. The Poisson regression is an appropriate model for estimating the number of occurrences of an event as a linear function of several explanatory variables, when the number of the occurrences has Poisson distribution. As an example applied to geoscience data, a Poisson regression model is applied to the number of the occurrences of mineral deposits and to spatially overlapping geological attributes in order to detect favorable areas for mineral exploration. We obtain the maximum likelihood estimates for the Poisson model using this program.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
