Generalized linear models John A. Nelder, P. McCullagh
Publisher: Chapman & Hall

In 1977 [2] are the most commonly used statistical models for PPK. Nov 18, 2012 - Besides, the classic compartmental model and nonlinear mixed effect model proposed by Sheiner et al. Jul 2, 2009 - As I have mentioned, I have spent the last few weeks both in stats books, finding my way around R, and cleaning up and refactoring the code for the generalized linear models in the NiPy models code. May 15, 2014 - by Joseph Rickert I recently wrote about some R resources that are available for generalized linear models (GLMs). May 10, 2014 - This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. The title says it all, I would really like to know what Generalized Linear Model is and how it differs from General Linear Model? May 1, 2014 - This is based on annual rather than cumulative data, a generalized linear model incorporating a log link for overall collection effort, and piecewise linear splines. GLMs are used in the insurance industry to support critical decisions. May 15, 2014 - In this new work, a statistical prediction methodology – based on generalized linear models – is presented in order to predict the distribution of the number of goals in the World Cup of Soccer FIFA 2014. Oct 1, 2012 - While Black Belts often make use of R2 in regression models, many ignore or are unaware of its function in analysis of variance (ANOVA) models or general linear models (GLMs). Minitab GLM (General Linear Model) - Problem with recognition of Level Using Minitab Software.