Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén

First Page		Document Content
Date: 2008-06-30 10:20:05 Probability distributions Poisson distribution Generalized linear model Normal distribution Exponential family Negative binomial distribution Poisson regression Overdispersion Variance Compound Poisson distribution Mixed logit		Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén Add to Reading List Source URL: www.variancejournal.org Download Document from Source Website File Size: 485,95 KB Share Document on Facebook

	Generalized Linear Model Mohammad Emtiyaz Khan EPFL Oct 15, 2015 DocID: 1v3By - View Document
	SAS Software to Fit the Generalized Linear Model Gordon Johnston, SAS Institute Inc., Cary, NC where yi is the response variable for the ith observation. The quantity i is a column vector of covariates, or explanatory DocID: 1spWv - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Sparse Preconditioning for Model Predictive Control Knyazev, A.; Malyshev, A. TR2016-046 DocID: 1rdHo - View Document
	THE BETA-JACOBI MATRIX MODEL, THE CS DECOMPOSITION, AND GENERALIZED SINGULAR VALUE PROBLEMS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We provide a solution to the β-Jacobi matrix model problem DocID: 1r1Io - View Document
	Empirical models of spiking in neural populations ¨ Lars Busing Gatsby Computational Neuroscience Unit University College London, UK DocID: 1qWHo - View Document