The Study On The Statistical Analysis Of Urban Low Standard In Jilin Province

Since the establishment of urban low insurance standard of jilin province,it is more than ten years of development and constantly improve the process,with every main city of jilin province as an example,this study has carried on the related research to these questions:can the current urban low insurance standard line of jilin province meet the basic living needs of urban and rural residents?How to make a more reasonable adjustment plan of low insurance standard?How to predict the future low insurance standard?The research aims at the low insurance standard of the major cities in jilin province.Firstly,the relationship between low insurance standard and economic adaptability is studied.Secondly,the evaluation of the low insurance standard is carried out.Then,the Adaptive-Lasso method was applied to select the variables,and the regression equation was obtained to adjust the current low insurance standard.The time series model,GM(1,1)model and neural network model were used to predict the low insurance standard.Finally,some suggestions are given to improve the standard of low insurance standard.