Sharpening estimators using resampling

DOI10.1016/S0378-3758(97)00079-7zbMath0961.62034MaRDI QIDQ1378786

Yongman Kim, Kesar Singh

Publication date: 16 May 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

bootstrapjackknifeweak dependencebias correctionSOSsecond-order superioritysmooth and nonsmooth statistical functions

Mathematics Subject Classification ID

Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items

Kesar Singh's contributions to statistical methodology, A quadratic bootstrap method and improved estimation in logistic regression.

Cites Work

• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• An odd property of the sample median
• A general theory for jackknife variance estimation
• The jackknife and the bootstrap for general stationary observations
• NOTES ON BIAS IN ESTIMATION
• A note on the application of Quenouille's method of bias reduction to the estimation of ratios
• A note on the jackknife, the bootstrap and the delta method estimators of bias and variance
• Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
• A Note on Quantiles in Large Samples
• The bootstrap and Edgeworth expansion
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item