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1)  urban households consumption expenditure
居民消费性支出
1.
By applying it to urban households consumption expenditure of Hunan province,we prove that this model can improve fitting effect and reduce predicting error.
本文利用递归的核回归模型 ,分析湖南省城镇居民消费性支出 ,以提高拟合度 ,减少预测误
2)  household consumption expenditures
居民消费支出
3)  government expenditure for people's livelihood
民生消费性支出
4)  Household Consumption Expenditure of Urban Residents
城镇居民家庭消费支出
5)  Per Capita Annual Living Expenditure of Urban Households
城镇居民家庭平均每人全年消费性支出
1.
This article has quantitatively predicted the growth of the Per Capita Annual Living Expenditure of Urban Households and Medicine and Medical Services in the coming period by using grey prediction models,and related to analysis and conclusions.
运用灰色预测模型分别定量预测我国城镇居民在今后一段时期内医疗保健消费支出和城镇居民家庭平均每人全年消费性支出的增长情况,并做出相关分析和结论。
6)  living expenditure
消费性支出
1.
In this paper, based on the large sample property of semilinear model, we analyze the relation ship between living expenditure and disposable income in China.
当前要想了解我国的居民可支配收入与消费性支出 ,就必须利用半线性回归模型的优良拟合性质进行分析。
2.
This article applies the principal component analysis to the comparative research of the urban residents living expenditure by region and comes to a conclusion that there are two important factors leading to the differences.
本文运用主成分分析方法对我国各地区城镇居民消费性支出进行分析研究 ,研究表明 :各地区城镇居民消费性支出的差异主要是由两方面引起的 ,首先是地区的经济发展水平 ,我国东部、中部和西部地区的消费水平存着较大差异 ;其次是由地区气候因素引起的消费倾向 ,我国南北地区明显有别。
补充资料:城镇居民家庭消费性支出

城镇居民家庭消费性支出:指调查户用于日常生活的全部支出,包括食品、衣着、家庭设备用品及服务、医疗保健、交通和通讯、娱乐教育文化服务、居住、杂项商品和服务等八大类支出。

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