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.

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.

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.

Poisson regression model is usually used in forecasting claim counts, but when the data appears to be over-dispersed, it will be not suitable.

0 in future 50a were calculated by applying Brownian Passage Time and Possion models.

Improved restoration method based on Poisson model;

Based on the long-term monitoring data of post-construction settlement of the loess subgrade of the Lanzhou-Wuwei Line Ⅱ,the quasi consolidation model was set up and contrasted with other models such as the Poisson model,index model, logarithm model and hyperbolic model.

The characteristics of the modified Poisson model and its applicability were analyzed and a modified Poisson-superposition wavelet neural net model was proposed.