Bootstrap Approximation of the LS Estimate of the Regression Parameters

In this paper, a new bootstrap approximation of the LS estimate of a linear functionα^Tβ of the regression parameters β in a linear model is established. It is proved that the approximation is consistent and asymptotically more accurate than approximation by the limiting normal distribution.