Higher-order coverage errors of batching methods via Edgeworth expansions on t-statistics
利用t统计量的Edgeworth展开分析分批方法的高阶覆盖误差
While batching methods have been widely used in simulation and statistics, their higher-order coverage behaviors and relative advantages in this regard remain open. We develop techniques to obtain higher-order coverage errors for batching methods by building Edgeworth-type expansions on t-statistics. The coefficients in these expansions are intricate analytically, but we provide algorithms to estimate the coefficients of the n−1 error terms via Monte Carlo simulation. We…