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術(shù)板塊范圍之內(nèi),參照股市規(guī)模與經(jīng)濟(jì)增長(zhǎng)關(guān)系的理論模式,本文建立了以廣義信息技術(shù)產(chǎn)業(yè)上市公司數(shù)量為應(yīng)變量,以該產(chǎn)業(yè)增加值為解釋變量的時(shí)間序列回歸模型,所取的時(shí)間截面為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,采用區(qū)位商的方式和賦予的經(jīng)濟(jì)意義,通過(guò)計(jì)算,比較了過(guò)去5年中甘肅、寧夏兩省區(qū)在農(nóng)業(yè)、林業(yè)、畜牧業(yè)、漁業(yè)、煤炭、原油、旅游、進(jìn)出口、人口等與資源產(chǎn)業(yè)密切相關(guān)的行業(yè)的區(qū)位商,并提出通過(guò)對(duì)所獲得的區(qū)位商數(shù)據(jù)建立有序的單變量時(shí)間序列回歸模型,可以獲知某項(xiàng)資源產(chǎn)業(yè)是否在該省具有明顯的優(yōu)勢(shì)的計(jì)量方法,為判斷并選擇區(qū)域性的優(yōu)勢(shì)產(chǎn)業(yè)提供了一種可行的分析工具。
時(shí)間序列: time series回歸: recurrence; regression; flyb ...模型: model; pattern時(shí)間序列回歸: time series regression時(shí)間序列模型: time sequence model; time series model多元時(shí)間序列模型: multivariate time series models隨機(jī)時(shí)間序列模型: stochastic time-series model回歸模型: cox; regre ion model; regression model自回歸模型: autoregressive model; var model間序列模型: time series model時(shí)間序列: [統(tǒng)計(jì)學(xué)] time series; 時(shí)間序列分析 [數(shù)學(xué)] time series analysis 時(shí)間序列預(yù)測(cè) time series forecasting時(shí)間序列表: time series table時(shí)間序列法: time series method時(shí)間序列論: theory of time series時(shí)間序列圖: time series charts; time series plot標(biāo)準(zhǔn)回歸模型: standard regression model多元回歸模型: multivariate regression model多重回歸模型: multiple regression model二元回歸模型: bivariate regression model分組回歸模型: grouped regression model古典回歸模型: classical regression model廣義回歸模型: generalized regressive model回歸模型假定: regression model簡(jiǎn)單回歸模型: simple regression model經(jīng)典回歸模型: classical regression model