BootstrappingpValues and Power in the First-Order Autoregression: A Monte Carlo Investigation
用蒙特卡洛方法研究Bootstrap在平稳一阶自回归模型中估计p值和统计功效的小样本表现，发现样本量小至5-10时Bootstrap比t分布更准确。
The small-sample behavior of the bootstrap is investigated as a method for estimating p values and power in the stationary first-order autoregressive model. Monte Carlo methods are used to examine the bootstrap and Student-t approximations to the true distribution of the test statistic frequently used for testing hypotheses on the underlying slope parameter. In contrast to Student's t, the results suggest that the bootstrap can accurately estimate p values and power in this model in sample sizes as small as 5–10.