GENMOD uses maximum likelihood estimation to fit generalized linear models. This family includes models for categorical data such as logistic, probit, and complementary log-log regression for binomial ...

We compare our model with a log-log regression specification on three criteria--estimated elasticities, hold-out sample predictions, and retailer cross-category pricing. We find that the proposed ...

“We develop a multiple logarithmic regression model to examine the energy consumption of single trips and influencing factors. Additionally, we use a Monte Carlo simulation framework to estimate ...

Logarithmic regression relationship was observed as the best fit model to derive the aboveground biomass from SAR backscatter coefficients with an absolute model accuracy of 80.61%. This was further ...