4)generalized poisson regression广义泊松回归 5)two-fold compound generalized Poisson process二重复合广义泊松过程 1.Through the example of our daily life,the model for thetwo-fold compound generalized Poisson process{Y(t),t≥0} is established in this paper on the basis of generalized Poisson proces...
Consul, P.C., Famoye, F.,Generalized Poisson regression model, Communications in Statistics (Theory & Method), 2(1): 89- 109,(1992).Generalized Poisson regression model. Consul.P.C,Famoye,F. Communication in Statistics Theory and Methods . 1992...
The generalized Poisson distribution has been found useful in fitting over-dispersed as well as under-dispersed count data. Since a number of models and methods have been proposed for the regression analysis of count data either with under-dispersion or with over-dispersion, we define and study ...
generalized poisson regression could reach deeper impression about risk factors of interest.For example,the change of excessive relative risk,the calculation of excessive cases,and the estimation of Attributable Risk Ration for the change of one unit of exposure could be conducted under the poisson ...
Three subtypes of generalized linear models will be covered here: logistic regression, poisson regression, and survival analysis. Logistic Regression Logistic regression is useful when you are predicting a binary outcome from a set of continuous predictor variables. It is frequently preferred over ...
The generalized Poisson (GP) regression model has been used to model count data that exhibit over-dispersion or under-dispersion. The zero-inflated GP (ZIGP) regression model can additionally handle count data characterized by many zeros. However, the parameters of ZIGP model cannot easily be ...
Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur. In this paper we study regression models associated with the generalized Poisson distri- bution (Consul (1989)). These regression models which have ...
Poisson regression model is usually used in forecasting claim counts, but when the data appears to be over-dispersed, it will be not suitable. 索赔次数预测模型中通常考虑泊松回归模型,但当索赔次数中出现过离散问题时,泊松回归模型就不再适合。 更多例句>> 3) generalized Poisson's ratio 广义泊松比...
This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is...
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter. Moreover, zero-inflated models in which overdispersion is assumed to be caused ...