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第一节 变量关系非线性 第二节 异常值 第三节 规律性扰动 第四节 解释变量缺落 第五节 参数变化
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第一节 多元线性回归模型 第二节 参数估计 第三节 回归拟合度评价和决定系数 第四节 统计推断和预测
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Dummy variables (also indicator variables; binary variables categorical variables; dichotomous variables.) Qualitative variables in regression model For example: sex, race, color, religion, nationalit y, marital status, etc
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Multiple Regression Model: A regression model with more than one explanatory variable, multiple because multiple nfluences (i.e., variables)affect the dependent variable
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The Object of Hypothesis Testing To answer- How \good\ is the estimated regression line. How can we be sure that the estimated regression function (i.e., the SRF) is in fact a good estimator of the true PRF?
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5.1 The Meaning of Regression Analysis 1.Regression analysisthe study of the relationship between one variable Y (the explained, or dependent variable) and one or more other variables X/Xs (explanatory, or independent variables)
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Statistical inference draws conclusions about a population [i.e., probability density function(DF)] from random sample that has supposedly been drawn from that population
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《计量经济学》课程教学资源(国外经典教科书)Introductory Econometrics
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Part 1 Introduction Part 2 Towards Neoclassical Growth Part 3 Neoclassical Growth Part 4 Endogenous Technological Change
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《计量经济学》课程教学资源(国外经典教科书)Gujarati - Basic Econometrics, Fourth Edition
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