http://img138.imageshack.us/img138/6060/98259799.jpg
bascially, a sample of Y1,...Yn.
population variance is theta.
an esitmator of theta is thetahat = 1/n sum_{i=1}^n (Y_i-\bar{Y})^2
then a Bootstrap sample of size n is taken, the Bootstrap estimate thetahatstar is a biased estimator of thetahat
How do I show that the bias of thetahat and the bias of thetahatstar differ by theta/n^2|||use the Pearson's chi square test
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