Bootstrap and other methods to measure errors in survey estimates
作者:
J. G. Kovar,
J. N. K. Rao,
C. F. J. Wu,
期刊:
Canadian Journal of Statistics
(WILEY Available online 1988)
卷期:
Volume 16,
issue S1
页码: 25-45
ISSN:0319-5724
年代: 1988
DOI:10.2307/3315214
出版商: Wiley‐Blackwell
关键词: Jackknife;balanced repeated replication;stratified sampling;variance estimation;nonlinear statistics;medians;confidence intervals
数据来源: WILEY
摘要:
AbstractVariance estimation techniques for nonlinear statistics, such as ratios and regression and correlation coefficients, and functionals, such as quantiles, are reviewed in the context of sampling from stratified populations. In particular, resampling methods such as the bootstrap, the jackknife, and balanced repeated replication are compared with the traditional linearization method for nonlinear statistics and a method based on Woodruff's confidence intervals for the quantiles. Results of empirical studies are presented on the bias and stability of these variance estimators and on confidence‐interval coverage probabilities and length
点击下载:
PDF
(1218KB)
返 回