Chapter 5 Large sample properties of the LSE 5.1 Stochastic convergence Suppose that Xn} is a sequence of random varia bles with a corresponding sequence of distribution functions{Fn} If Fn(x)(x) at every continuity point x of F, Fn is said to converge weakly to F, written FnF. In this case,{xn} is said to converge in distribution to where
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 3.1 Least squares estimation The criterion of the least squares estimation is
1 Goodness of Fit Statistics We would like some measure of how well our regression model actually fits the data.* We have goodness of fit statistics to test this: i.e. how well the sample regression function (srf) fits the data. The most common goodness of fit statistic is known as R2. One