时间序列回归模型 meaning in Chinese
time series regression model
Examples
- Inside the scope of the defined it plate , according to the theoretic mode which describes the relationship of the scale of the stock market and the incensement of economy , the paper establishes a time series regression model . in the regression equation , the independent variables are numbers of broad sense chinese it listed companies ; the dependent variables are added values of it industries
在界定完成的信息技术板块范围之内，参照股市规模与经济增长关系的理论模式，本文建立了以广义信息技术产业上市公司数量为应变量，以该产业增加值为解释变量的时间序列回归模型，所取的时间截面为1992 ? ? 2000年。 - In chapter 2 , an economic concept - location quotients ( lq ) is introduced into the mathematical part of this article , in order to isolate what a city does well , and to find which of its industries export to the rest of the nation . author manipulates last five years " lq from data on farming , forestry , animal husbandry , coal , rude oil , tourism , export and import , population and etc , argues that we could know weather there is a larger than normal concentration of activity in the region , and weather there is a trend of regular develop trace of this activity by running a time series simple autoregression , which provides a feasible analysis tool for people to judge and choose an advantageous industry within this region
第二章，采用区位商的方式和赋予的经济意义，通过计算，比较了过去5年中甘肃、宁夏两省区在农业、林业、畜牧业、渔业、煤炭、原油、旅游、进出口、人口等与资源产业密切相关的行业的区位商，并提出通过对所获得的区位商数据建立有序的单变量时间序列回归模型，可以获知某项资源产业是否在该省具有明显的优势的计量方法，为判断并选择区域性的优势产业提供了一种可行的分析工具。