1. 解释什么是bias-corrected bootstrap Bias-corrected bootstrap,即偏差校正自助法,是一种改进的自助法(bootstrap)技术,用于估计统计量的分布及其置信区间。传统的自助法通过从原始样本中重复抽样(有放回抽样)来生成多个自助样本,从而估计统计量的分布。然而,传统自助法有时会产生偏差,特别是在样本量较小或统计量的...
Overall, the percentile- t bootstrap prediction region based on asymptotic bias-correction is found to provide highly desirable small sample properties, outperforming its alternatives in nearly all cases.Copyright 2004 John Wiley & Sons, Ltd.doi:10.1002/for.908...
Overall, the percentile- t bootstrap prediction region based on asymptotic bias-correction is found to provide highly desirable small sample properties, outperforming its alternatives in nearly all cases.Copyright 2004 John Wiley & Sons, Ltd. 展开 ...
Finally, we introduce improved confidence intervals (bias corrected and accelerated) that improve on the parametric and percentile-based bootstrap confidence ... FA Wichmann,NJ Hill - 《Perception & Psychophysics》 被引量: 1124发表: 2001年 A Review of Bootstrap Confidence Intervals The percentile, ...
BCa with R-software and JMP provided superior lower percentile as compared to other computations. Expected f2 recommended by EMA has resulted as stringent criteria as compared to estimated f2. No impact of number of bootstraps on similarity analysis was observed whereas number of samples increased...