作者: Katrien Antonio , Jan Beirlant
DOI: 10.1016/J.INSMATHECO.2006.02.013
关键词: Generalized linear model 、 Generalized linear mixed model 、 Statistics 、 Econometrics 、 Linear function 、 Bayesian probability 、 Bayesian statistics 、 Mathematics 、 Random effects model 、 Random variable 、 Context (language use) 、 Actuarial science
摘要: Over the last decade the use of generalized linear models (GLMs) in actuarial statistics has received a lot of attention, starting from the actuarial illustrations in the standard text by …