期刊
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
卷 95, 期 450, 页码 486-492出版社
AMER STATISTICAL ASSOC
DOI: 10.2307/2669393
关键词
bootstrap; extrapolation; Monte Carlo test; permutation test; p value; power function; SIMEX
Monte Carlo estimation of the power of tests that require resampling can be very computationally intensive. It is possible to reduce the size of the inner resampling loop as long as the resulting estimator of power can be corrected for bias. A simple linear extrapolation method is shown to perform well in correcting for bias and thus reduces computation time in Monte Carlo power studies.
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