摘要
指出对居民食品消费价格指数进行递进时段灰色关联度分析研究的重要性.指出递时段灰色关联度分析的方法:设立子、母数据列,进行标准化处理,计算灰色关联系数,确定权重,计算灰色关联度且排序.以2002-2013年居民食品消费价格指数及8个分指标指数为研究数据,以6年为时长,进行计算分析,得出"水产品""在外用餐食品""粮食"对居民食品消费价格指数的关联度分别占前三位的结论.
The paper indicates the significance of the analysis and research on price index progressive period＇s grey association degree of residents food consumption, and also states clearly the method of the progressive period grey association degree： assume sub-data and mother data column, undertake standardized treatment, calculate grey association degree index, determine the weight, and calculate the grey association degree and sequencing. The paper takes residents food consumption price index during 2002-2013 and eight sub-index as the research data, and takes six years to calculate and analyze the data~ then makes a conclusion that aquatic products, food eating out and grain are separately the first three in the association degree of residents food consumption price index.
出处
《数学的实践与认识》
北大核心
2015年第9期1-8,共8页
Mathematics in Practice and Theory
关键词
消费
指数
时段
灰色关联度
consumption
index
time period
grey association degree
