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分布不对称时。偏差校正自助法则通过调整...
1. Bootstrap Bias Correction: - Bootstrap方法是一种通过重复抽样来估计统计量分布的技术。在"bias-corrected" bootstrap中,通过对样本进行多次重抽样,生成多个估计值的分布,并计算其平均值或中位数,以纠正原始估计的偏差。 2. Heteroscedasticity Bias Correction: -当观测数据的方差不是恒定的时候,会引入异方差性...
bias-corrected bootstrap method bias-corrected bootstrap method(偏差校正自助法)是一种统计学方法,用于估计统计量的偏差并进行校正。该方法主要用于通过自助抽样的方式来重复抽样数据集,并通过计算抽样数据集的统计量来估计原始数据集的统计量。本文将逐步解释bias-corrected bootstrap method的基本概念、步骤和应用。
S. Jaakkola, "Bias-corrected bootstrap and model uncertainty," in Advances in Neural Information Processing Systems 16, S. Thrun, L. Saul, and B. Scho¨lkopf, Eds. Cambridge, MA: MIT Press, 2004.Steck, H. & Jaakkola, T. S. (2004). Bias-corrected bootstrap and model uncertainty, ...
This paper examines small sample properties of alternative bias-corrected bootstrap prediction regions for the vector autoregressive (VAR) model. Bias-corrected bootstrap prediction regions are constructed by combining bias-correction of VAR parameter estimators with the bootstrap procedure. The backward VA...
网络释义 1. 误差修正 2.9误差修正(Bias Corrected)………...35 2.10 清除分割(Clean up segmentation)……… etds.lib.nchu.edu.tw|基于8个网页 2. 误差校正 ...前的经手的资料,包含3小时的卫星降雨资料,某老师的误差校正(Bias Corrected)160年资料(所有陆地的),南美洲60年资料… liaofanlinspace.wordpres...
bias-corrected bootstrap method -回复 (假设读者已经有一定的统计学基础知识) 介绍: 假设检验是统计学中非常重要的概念之一,用于判断在某种假设条件下,观测数据与假设是否一致。然而,传统的假设检验方法在某些情况下可能会出现一些问题,比如数据的分布非常偏斜或假设条件不满足时。为了克服这些问题,可以使用一种被称为...
All previously formulated equations are not bias corrected, where the efficiency scores of DEA are subject to sampling variation of frontier (Tsolas,2011). The core idea behind the bootstrapping is to estimate the efficiency scores based on multiple sampling process (Simar & Wilson,1998). To av...
bootstrap confidence interval, percentile bootstrap confidence interval, bootstrap- t confidence interval, and bias-corrected and accelerated confidence interval... YK Chu,JC Ke - 《Applied Mathematics & Computation》 被引量: 30发表: 2006年 Normalizing Transformatins and Bootstrap Confidence Intervals...
Simulation studies show that except bootstrap estimator, the proposed estimators have smaller bias compared to those estimators in literature for small and moderate samples. 展开 关键词: Bias-corrected estimators Bias prevention Scalar skew normal Score function Simulations ...