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Review Conditional pdf Let(Y1,., YN) have joint pdf f(31,.. JN). Let f(3J+1, .. yN)be the marginal pdf of(y+1,……,YN). The conditional pdf of y1,…, Y, given y+1,…, YN is defined by
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一、城市化的概念 二、城市化的推进机制 三、城市化的规律 四、城镇体系的结构 五、城镇体系的形成与发展
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Review Problems for Midterm 1 Least Squares 1. In the linear regression model
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Chapter 7 Functional Form and Structural Change 7.1 Using binary variable Example 1 Earnings equation for married women
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Chapter 6 Large Sample Inference and Prediction 6.1 Large sample inference Consider the null hypothesis
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Chapter 4 Finite-Sample properties of the LSE Finnite-sample the n is assumed to be fixed normal dist n assumed Large-sample theory n is sent to oo, general distn assumed
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Chapter 3 Least Squares Methods for Estimating B Methods for estimat ing B Least squares estimation Maximum like lihood estimation Met hod of moments est imation Least a bsolute deviat ion est imation
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Chapter 2 The Classical Multiple Linear Regression Model 2.1 Linear Regression Model Notation dependent variable, regressand
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Chapter 12 Time Series Analysis 12.1 Stochastic processes A stochastic process is a family of random variables {Xt,t ET}. Example{St,t 0, 1,2,...} where St i=o X; and iid(0,2). St has a different distribution at each point t
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Chapter 11 Heteroskedasticity 11.1 White's test for heteroskedasticity For a model with het eroskedasticity
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