时间序列回归的英文

• time series regression

• "时间序列"英文翻译    time series
• "回归"英文翻译    recurrence; regression; flyb ...
• "时间序列回归模型" 英文翻译 :    time series regression model
• "时间序列" 英文翻译 :    [统计学] time series; 时间序列分析 [数学] time series analysis 时间序列预测 time series forecasting
• "时间序列表" 英文翻译 :    time series table
• "时间序列法" 英文翻译 :    time series method
• "时间序列论" 英文翻译 :    theory of time series
• "时间序列图" 英文翻译 :    time series charts; time series plot
• "自回归和移动平均时间序列过程" 英文翻译 :    autoregressive and moving-average time-series processes
• "不稳时间序列" 英文翻译 :    unstable time series
• "创建时间序列" 英文翻译 :    create time series
• "创造时间序列" 英文翻译 :    create time series
• "地震时间序列" 英文翻译 :    earthquake time series
• "多重时间序列" 英文翻译 :    multiple time-series
• "固定时间序列" 英文翻译 :    stationary time series
• "离散时间序列" 英文翻译 :    discrete time series
• "连续时间序列" 英文翻译 :    continuous time series
• "平稳时间序列" 英文翻译 :    stationary time series
• "时间序列的峰" 英文翻译 :    peak in time series
• "时间序列分解" 英文翻译 :    decomposition of time series; time series decomposition
• "时间序列分析" 英文翻译 :    analysis of time series; time sequential analysis; time series analysis
• "时间序列流向" 英文翻译 :    time sequence flows
• "时间序列模型" 英文翻译 :    time sequence model; time series model
• "时间序列趋势" 英文翻译 :    time series trend
• "时间序列曲线" 英文翻译 :    time sequence curve

• Stock liquidity and asset pricing : empirical analysis from the perspective of time - series regression
  基于时间序列回归的实证分析
• Furthermore , multi - investments can resolve the most part of nonsystematic risk . in chapter 4 , the thesis estimated the value of by means of time series regression firstly . secondly , we used ways of equilibrium analysis to test the risk - return relation of shanghai a - share
  在第4章，本文先通过时间序列回归估计了样本股票的值，然后以上证综合指数作为市场组合分期进行横截面检验来考察上证a股的风险-收益关系，本章采用了均衡分析方法。
• The analytical approaches involved in the dissertation includes cross section analysis 、 time series regression 、 step by step regression and contrast analysis , the following technologies also are applied , including computerizing lower partial moments ( lpm ) with matlab , processing revenue data with excel , regression analysis with eviews
  主要运用横截面分析、时间序列回归、逐步回归和对比分析方法,还用到matlab编程计算下偏矩风险值, excel处理收益数据, eviews回归分析。
• 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。
• So we consider five financial indexes includes stock b / p , e / p , current stock size , current stock stru and financial levge by the international tradition , then descriptive statistical test method and cross section statistical test method proved that b / p and current stock size have marked effect on the securities yield besides coefficient b . in the third chapter , the article fut forward a risk factor model , estimates yield sequences of every risk factor by weight regression , and then estimates each risk factor coefficient of different stock by time sequence regression , at last we can reckon the portfolio risk o2p and yield rp which consists n stocks
  结合国际惯例，文章考虑了股票的净值市价比( b p ) ，市盈率倒数( e p ) ，流通规模( size ) ，流通比例( stru )和财务杠杆( levge )等五个财务指标，应用描述性统计检验和横截面统计检验等多种方法，结果表明，除系数以外，净值市价比( b p )和流通规模( size )对证券收益率部有重要的影响。在论文的第三章，提出了一个基于多因素的风险因子模型，并用加权回归和时间序列回归等方法估计出了不同证券的各风险因子系数(类似于单指数模型中的系数) ，据此，即可衡量出一个包括n只股票的组合的风险_ p ~ 2和收益率r _ p 。
• 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。