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stat.ME2008
Improving Coverage Accuracy of Block Bootstrap Confidence Intervals
Stephen M. S. Lee, P. Y. Lai
The block bootstrap confidence interval based on dependent data can outperform the computationally more convenient normal approximation only with non-trivial Studentization which,…
stat.ME2007★ 1 cited
Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling
Yvonne Ho, Stephen Lee
We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution i…