Calibrated bootstrap and saddlepoint approximations of finite population \(L\)-statistics

DOI10.1007/s10986-019-09446-9zbMath1435.62040OpenAlexW2966890277MaRDI QIDQ2010115

Publication date: 3 December 2019

Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10986-019-09446-9

zbMATH Keywords

nonparametric bootstrap calibration jackknife auxiliary information simple random sampling without replacement Hoeffding decomposition saddlepoint synthetic estimation studentized statistic empirical Edgeworth expansion

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Sampling theory, sample surveys (62D05)

Related Items (1)

Calibrated bootstrap and saddlepoint approximations of finite population \(L\)-statistics

Cites Work

Unnamed Item
Unnamed Item
An exact bootstrap for variance of finite-population \(L\)-statistic
An Edgeworth expansion for finite-population \(L\)-statistics
On the asymptotic normality of finite population \(L\)-statistics
Empirical likelihood ratio confidence regions
On the Edgeworth expansion and the bootstrap approximation for a Studentized U-statistic
Bootstrap approximation to distributions of finite population U-statistics
Small sample asymptotic expansions for multivariate M-estimates
On the bootstrap and the trimmed mean
Empirical Edgeworth expansions for symmetric statistics
Orthogonal decomposition of finite population statistics and its applications to distributional asymptotics
Empirical Edgeworth expansion for finite population statistics. I
Saddlepoint approximations to the trimmed mean
Edgeworth expansions for studentized versions of symmetric finite population statistics
Calibrated bootstrap and saddlepoint approximations of finite population \(L\)-statistics
On the Edgeworth expansion and the \(M\) out of \(N\) bootstrap accuracy for a Studentized trimmed mean
Empirical saddlepoint approximations of the Studentized ratio and regression estimates for finite populations
Second-order approximations of finite populationL-statistics
Methodology and Algorithms of Empirical Likelihood
Conditional bootstrap methods in the mean-shift model
General Saddlepoint Approximations with Applications to L Statistics
Calibration Estimators in Survey Sampling
Bootstrapping with auxiliary information
Asymptotic distributions οf linear combinations of order statistics
Bootstrap Methods for Finite Populations
Efficient Estimation of Quadratic Finite Population Functions in the Presence of Auxiliary Information
Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
Bootstrapping probability-proportional-to-size samples via calibrated empirical population
Empirical saddlepoint approximations of the Studentized mean under simple random sampling

This page was built for publication: Calibrated bootstrap and saddlepoint approximations of finite population \(L\)-statistics