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1)  generalized poisson regression
广义泊松回归
2)  poisson regression
泊松回归
1.
time series analysis Poisson regression was used to evaluate the relationship between cause-specific deaths and air pollutant, con sidering the potential confounding factors such as seasonal and long-term patte rns, meteorological factors (air temperature, air humidity), as well.
以呼吸系统疾病、循环系统疾病、冠心病、慢性阻塞性肺病和消化系统肿瘤疾病死亡人数分别为因变量 ,大气污染物浓度和平均温度、湿度为自变量 ,进行了泊松回归分析。
2.
When the data appear to be zero-inflated,zero-inflated poisson regression model will be applied,and the proportion parameter φ of structural zeros is usually supposed to be constant and not affected by rating factors.
在保险产品的分类费率厘定中,最常使用的模型之一是泊松回归模型。
3.
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。
3)  generalized Poisson's ratio
广义泊松比
4)  Poisson regression model
泊松回归模型
1.
Based on the survey data about 270 farmer households from 10 cities and counties in Anhui province,this paper analyzes the influencing factors of the agricultural industrialization,and studies the specific impacts of these influencing factors through using Poisson regression model.
基于对270户农户的实地调研数据,分析了农业产业化的影响因素,并利用泊松回归模型实证研究了各相关因素的具体影响。
5)  Generalized poisson process
广义泊松过程
6)  generalized Poisson distribution
广义泊松分布
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